Patent Application
20190045172
Aspects of the present invention relate to conversion of two dimensional (2-D) multimedia content to stereoscopic three dimensional (3-D) multimedia content. More particularly, aspects of the present invention involve a gradient modeling toolkit for sculpting stereoscopic gradient models for a 2-D image for purposes of applying a stereoscopic 3-D effect to one or objects of the 2-D image.
Three dimensional (3-D) imaging, or stereoscopy, is a technique used to create the illusion of depth in an image. In many cases, the stereoscopic effect of an image is created by providing a slightly different perspective of a particular image to each eye of a viewer. The slightly different left eye image and right eye image may present two perspectives of the same object, where the perspectives differ from each other in a manner similar to the perspectives that the viewer's eyes may naturally experience when directly viewing a three dimensional scene. For example, in a frame of a stereoscopic 3-D film or video, a corresponding left eye frame intended for the viewer's left eye may be filmed from a slightly different angle (representing a first perspective of the object) from the corresponding right eye frame intended for the viewer's right eye (representing a second perspective of the object). When the two frames are viewed simultaneously or nearly simultaneously, the pixel offset between the left eye frame and the right eye frame provides a perceived depth to the objects in the frames, thereby presenting the combined frames in what appears as three dimensions.
In creating stereoscopic 3-D animation from 2-D animation, one approach to construct the left eye and right eye images necessary for a stereoscopic 3-D effect is to first create a virtual 3-D environment consisting of a computer-based virtual model of the 2-D image, which may or may not include unique virtual models of specific objects in the image. These objects are positioned and animated in the virtual 3-D environment to match the position of the object(s) in the 2-D image when viewed through a virtual camera. For stereoscopic rendering, two virtual cameras are positioned with an offset between them (inter-axial) to simulate the left eye and right eye views of the viewer. Once positioned, the color information from each object in the original image is “cut out” (if necessary) and projected from a virtual projecting camera onto the virtual model of that object. This process is commonly referred to as projection mapping. The color information, when projected in this manner, presents itself along the front (camera facing) side of the object and also wraps around some portion of the front sides of the object. Specifically, any pixel position where the virtual model is visible to the projection camera will display a color that matches the color of the projected 2-D image at that pixel location. Depending on the algorithm used, there may be some stretching or streaking of the pixel color as a virtual model bends toward or away from the camera at extreme angles from perpendicular, but this is generally not perceived by a virtual camera positioned with sufficiently small offset to either side of the projecting camera.
Using this projection-mapped model in the virtual 3-D environment, the left eye and right eye virtual cameras will capture different perspectives of particular objects (representing the left eye and the right eye views) that can be rendered to generate left eye and right eye images for stereoscopic viewing. However, this technique to convert a 2-D image to a stereoscopic 3-D image has several drawbacks. First, creating a virtual 3-D environment with virtual models and cameras is a labor-intensive task requiring computer graphics software and artistic and/or technical talent specialized in the field of 3-D computer graphics. Second, with animated objects, the virtual model must alter over time (frame by frame) to match the movement and deformation of the object in the 2-D image. For the best results, the alteration of the model precisely matches the movement of the object(s) frame by frame. Camera movement may also be taken into account. This is a time consuming task requiring advanced tracking and significant manual labor. In addition, this requires that the 2-D image be recreated almost entirely in a virtual 3-D environment, which also requires significant manual labor, as it implies effectively recreating the entire movie with 3-D objects, backgrounds and cameras.
A first embodiment of the present disclosure may take the form of a method for generating a stereoscopic image from a two dimensional image. The method may comprise the operations of obtaining a first two dimensional digital image comprising a first plurality of pixel values and obtaining a first gradient model comprising a first plurality of depth attributes. The method may also include the operations of obtaining a first two dimensional digital image comprising a second plurality of pixel values corresponding to the first plurality of pixel values and applying the first gradient model to the second plurality of pixel values to horizontally offset one or more of the second plurality of pixel values relative to the first plurality of pixel values based upon the depth attributes of the first gradient model.
A second embodiment of the present disclosure may take the form of a method for generating a stereoscopic frame. The method may comprise the operations of extracting a layer from a two dimensional frame, wherein the layer comprises a first portion and a second portion of the two dimensional frame and obtaining a gradient model comprising a gray scale template having a plurality of gray scale values relative to each of the first portion and second portion. The method may also include the operations of altering the shape of the gradient model to approximate a portion of the two dimensional frame and generating a duplicate layer comprising a duplicate of the first image portion and a duplicate of the second image portion. The method may further include horizontally offsetting the first image portion relative to the duplicate of the first image portion a first amount based on a portion of the plurality of gray scale values and the second image portion relative to the duplicate of the second image a second amount, different from the first amount, based on a portion of the plurality of gray scale values. Further, the layer and the duplicate of the layer are displayed substantially contemporaneously for stereoscopic viewing of the image.
A third embodiment of the present disclosure may take the form of a system for generating stereoscopic images from a two dimensional planar image. The system may comprise one or more computing devices coupled with a storage medium storing one or more two dimensional frames. The storage medium may further include a plurality of digital geometric shape models, with each given geometric shape model representing depth as a gray scale value and representative of one or more basic geometric shapes. The one or more computing devices may be further configured to perform the operations of retrieving a two dimensional digital image comprising a first plurality of pixel values and selecting a first gradient model from the plurality of digital geometric shape models. The first gradient model may comprise a gray scale template having a plurality of gray scale values relative to each of the first plurality of pixel values. The computing device may be further configured to perform the operations of obtaining a copy of the two dimensional image comprising a second plurality of pixel values corresponding to the first plurality of pixel values and horizontally displacing one or more of the second plurality of pixel values based upon the plurality of gray scale values for the first plurality of pixel values.
A fourth embodiment of the present disclosure may include a method for creating multiple viewpoint images for an image frame. The method includes receiving by a processing element a left eye image and a right eye image, wherein the left eye image and right eye image comprise a stereoscopic image pair. Once the images are received, the method includes determining by a processing element a first viewing location corresponding to the left eye image and a second viewing location corresponding to the right eye image and determining by the processing element a plurality of new viewpoint locations using the first viewing location and the second viewpoint location.
A fifth embodiment of the present disclosure may include a method for displaying content on a two-dimensional display for a three-dimensional effect. The method includes displaying on the two-dimensional display a first image having a first viewpoint corresponding to a first frame of the content, detecting by a sensor a user input, analyzing by a processing element the user input, wherein when the user input is a first value continuing to display the first image and when the user input is a second value selectively displaying by the two dimensional display a second image having a second viewpoint corresponding to the first frame of the content.
A sixth embodiment of the present disclosure may include a computing device. The computing device may include a screen for displaying a visual output, at least one sensor for detecting a first user input to the computing device, and a processing element in communication with the screen and the at least one sensor. In response to the first user input the processing element selectively transmits a viewpoint image from a plurality of viewpoint images to the screen, the screen displays the image, and the plurality of viewpoint images correspond to images of a first frame from a plurality of viewpoint locations.
Aspects of the present disclosure involve methods and systems for generating stereoscopic depth and volume from a 2-D planar image by applying any of a plurality of gradient models to a 2-D image or feature of an image, and then providing the 2-D image or feature with stereoscopic depth and volume based on perceptual depth values of the gradient model. Through techniques discussed herein, a two-dimensional object may be stereoscopically placed along a perceptual z-axis by creating a copy of the two dimensional object, and horizontally and uniformly displacing the copy relative to the original. In one implementation, the pixel values in a copy of the image are displaced along the x-axis relative to the pixel values of the original image, and the degree of offset, when the copy and original are displayed for viewing in a stereoscopic environment, determines the direction and magnitude of the images location along the perceptual z-axis. Further, a two-dimensional object may be provided with stereoscopic volume by non-uniformly displacing some portions of the object copy relative to the original. Aspects of the present disclosure involve a toolkit of templates, such as shapes and jointed shapes, with stereoscopic depth map attributes. The system uses the depth map attributes of the shape to create stereoscopic volume for the image feature with a similar shape. The shape as well as the depth map attributes may be adjustable. In one particular implementation, the shapes have variable gradient gray scale attributes. The gray scale attributes of the shape, which corresponds to some image portion, are used to horizontally offset pixel values of a right or left eye image portion corresponding to the original left or right eye image. When the right and left eye images are displayed in accordance with a stereo optic viewing environment, the original image will have taken on stereoscopic volume for the portion of image processed with the toolkit shape.
The templates upon which the pixel offset for one or more pixels of the 2-D image may be adjusted provides the 2-D image with a finely tuned, nuanced stereoscopic 3-D effect when rendered in a stereoscopic 3-D environment. In this manner, the 2-D image may be converted to a corresponding 3-D image with a perceived depth. Further, this process may be applied to each image of an animated feature film to convert the film from 2-D to stereoscopic 3-D.
For convenience, the embodiments described herein refer to a 2-D image as a “frame” or “2-D frame.” However, it should be appreciated that the methods and devices described herein may be used to convert any 2-D multimedia image into a stereoscopic 3-D image, such as 2-D multimedia images including a photo, a drawing, a computer file, a frame of a live action film, a frame of an animated film, a frame of a video or any other 2-D multimedia image. Further, the term “layer” as used herein indicates any portion of a 2-D frame, including any object, set of objects, or one or more portions of an object from a 2-D frame. Thus, the depth model effects described herein may be applied to any portion of a 2-D frame, irrespective of whether the effects are described with respect to layers, objects or pixels of the frame.
Other embodiments of the present disclosure include techniques for using parallax data created when converting the 2-D frames into 3-D images to create a parallax based monoscopic rendering of content. In one embodiment, a computing device generates a plurality of images spanning a spectrum of viewpoints between viewpoint locations of a stereoscopic pair, e.g., a first eye image (e.g., left eye image) and a second eye image (e.g., right eye image), for the stereoscopic 3-D image. The computing device may also be configured to generate images at viewpoint locations that are extrapolated from the original viewpoint locations of a stereoscopic image pair in order to create new viewpoints that are beyond the range of the original stereoscopic pairs.
For example, if the original stereoscopic image pair includes a left eye image captured or viewed from a first location and a right eye image captured or viewed from a second location, the computing device may determine a plurality of viewpoint locations that fall between or outside of the original viewpoint locations for the stereoscopic image pair. These new viewpoint locations may then be used to generate new viewpoint images that are captured or viewed from the various viewpoint locations.
The computing device may use the 2-D content used to create the original left and right images of the stereoscopic pair to generate the new viewpoint images captured at viewpoints between the viewing locations of the stereoscopic pair. Alternatively or additionally the computing device may use the stereoscopic image pair itself (or data associated therewith) to generate the new viewpoint images.
The plurality of viewpoint images represent images that would be captured or viewed from a plurality of viewpoint locations and when shown sequentially produce a dynamic effect to a 2-D display. As one example, the plurality of images can be displayed sequentially on a 2-D display to provide the user with a sense of depth or that he or she is viewing the 2-D display from different locations (e.g., similar to walking around an object in real life). Alternatively or additionally, the sequence of images can be used to supplement or produce an animation in an image. Because the 2-D images are taken from various viewpoints along a spectrum between a predetermined 3-D parallax, as the images are displayed quickly, the user experiences an illusion of depth in the content being viewed.
In some instances, the sequence and/or selection of images display may be based on a user input. For example, a computing device may include one or more sensors, such as eye tracking, head tracking, or the like that detect movements by a user. The computing device then determines the one or more images to display based on the user movement. As another example, the computing device may include sensors (e.g., accelerometers, gyroscopes, capacitive touch sensors) and/or input/output devices that are configured to receive user input, and the computing device selects the one or more images to display based on the received user input.
As used herein the term “frame” is meant to encompass an image with a predetermined orientation of objects within a background, such as a frame within an animation sequence. The term “viewpoint image” is meant to encompass images of a particular frame taken from any viewpoint of that frame. For example, the plurality of viewpoint images may be created based on a single frame, where the viewpoint images show the characters in the same configuration and orientation, but from different viewing angles/locations. Original or stereoscopic viewpoint locations may be used to refer to the viewpoint locations of a pair of images displayed simultaneously to create a 3-D appearance when viewed by a user. In some examples the original viewpoint locations may be based on a desired depth and/or object volume for one or more objects and/or layers within the content.
In a first example, the user input is used to select a view location, the view location is then used to determine which image within a set of 2-D images should be displayed. In this example, as the user view location changes, the image displayed changes to give the user a different viewing location. Due to the volume effects defined when the stereo images are created as briefly explained above, this provides the user with a different view of each object within the image and provides additional data in the same way as if a user was walking around an object shown in the images. In a second example, the user input may determine not only the viewpoint but also the current frame that is displayed. In this example, viewpoint and a playback sequence may be correlated together so that as the user varies his or her input to the computing device, the frame playback (e.g., image sequence or animation sequence) may change correspondingly. In a third example, the user input changes the view location of the images displayed, while the sequence plays independently. In other words, a playback sequence will play regardless of the user viewpoint, but the images displayed for each frame of the animation will be based on the user viewpoint. The above examples illustrate some of the various uses for the interpolated viewpoint images that can be used to allow a user to experience the illusion of depth on a monoscopic screen without the use of 3-D accessories (e.g., polarized glasses or anaglyph glasses).
Creating 3-D Image Data from 2-D Images
A method of creating a stereo pair for 3-D image data will now be discussed. Turning now to the figures,
The method may begin in operation 110 where one or more layers are extracted from the 2-D frame by a computer system. A layer may comprise one or more portions of the 2-D frame. The example 2-D frame 200 of
The layers can be extracted from the composite 2-D frame in several ways. For example, the content of each extracted layer can be digitally extracted from the 2-D frame by a computing system utilizing a rotoscoping tool or other computer image processing tool to digitally remove a given object(s) and insert a given object(s) into a distinct layer. In another example, the layers for a 2-D frame may be digitally stored separately in a computer-readable database. For example, distinct layers pertaining to each frame of a cell animated feature film may be digitally stored in a database, such as the Computer Animation Production System (CAPS) developed by the Walt Disney Company in the late 1980s.
Upon extraction of a layer or otherwise obtaining layer pixel data, a user or the computing system may determine a pixel offset for the layer pixel data in operation 120. Each pixel, or more likely a collection of adjacent pixels, of the 2-D frame may have an associated pixel offset that determines the object's perceived depth in the corresponding stereoscopic 3-D frame. For example,
In the example of
For example, returning to
Additional stereoscopic techniques for pixel offset may be utilized to provide this volumetric and depth detail to the stereoscopic 3-D effect applied to the 2-D frame. One such adjustment involves utilizing gradient models corresponding to one or more frame layers or objects to provide a template upon which a pixel offset adjustment may be made to one or more pixels of the 2-D frame. For example, returning to
Once the desired depth pixel offset and the adjusted pixel offset based on a volume effect or gradient model are determined for each layer and pixel of the 2-D frame in operation 120, corresponding left eye and right eye frames are generated for each layer in operation 130 and shifted in response to the combined pixel offset in operation 140 to provide the different perspectives of the layer for the stereoscopic visual effect. For example, to create a left eye or right eye layer that corresponds to a layer of the 2-D frame, a digital copy of the 2-D layer is generated and shifted, either to the left or to the right in relation to the original layer, a particular number of pixels based on the pixel offset for relative perceptual z-axis positioning and/or individual object stereoscopic volume pixel offsetting. Hence, the system generates a frame copy of the layer information with the x-axis or horizontal pixel values shifted uniformly some value to position the object along a perceptual z-axis relative to other objects and/or the screen, and the system further alters the x-axis or horizontal pixel position for individual pixels or groups of pixels of the object to give the object stereoscopic volume. When the corresponding left eye and right eye frames are viewed simultaneously or nearly simultaneously, the object appearing in the corresponding frames appears to have volume and to be in the foreground or background of the stereoscopic 3-D frame, based on the determined pixel offset. The left and right eye frames may be rendered based on a desired viewpoint location of each image, the viewpoint location typically corresponded to a desired depth appearance for the 2-D frame and so would be used as input to determine the depth pixel offset and/or the adjusted pixel offset.
In general, the shifting or offsetting of the left or right eye layer involves the horizontal displacement of one or more pixel values of the layer. For example, a particular pixel of the left or right eye layer may have a pixel color or pixel value that defines the pixel as red in color. To shift the left or right eye layer based on the determined pixel offset, the pixel value that defines the color red is horizontally offset by a certain number of pixels or other consistent dimensional measurement along the x-axis or otherwise horizontal, such that the new or separate pixel of the layer now has the shifted pixel value, resulting in the original pixel horizontally offset from the copy. For example, for a pixel offset of 20, a pixel of the left or right eye layer located 20 pixels either to the left or the right is given the pixel value defining the color red. Thus, there is a copy of the pixel horizontally offset (x-offset) from the original pixel, both with the same color red, 20 pixels apart. In this manner, one or more pixel values of the left or right eye layer are horizontally offset by a certain number of pixels to create the shifted layer. As used herein, discussion of “shifting” a pixel or a layer refers to the horizontal offsetting between the original pixel value and its copy.
The number of pixels that one or both of the left eye and right eye layers are shifted in operation 140 may be based on the depth pixel offset value. In one example, the pixel offset may be determined to be 20 total pixels, such that the layer may appear in the background of the stereoscopic 3-D frame. Thus, as shown in
Returning to
In one embodiment, a gradient model including a gray scale template is created and applied to an object or layer of the 2-D frame such that, after application of the pixel offset to the left eye layer and the right eye layer, the whiter portions of the gradient model correspond to areas of the 2-D image that appear further in the foreground than the areas corresponding to the darker portions. Stated differently, the gradient model gray scale provides a map or template from which the adjusted pixel offset for each pixel of an object or layer may be determined. In this manner, stereoscopic volume and depth is applied to an object for a more detailed stereoscopic appearance of one or more objects of the frame. It should be appreciated, however, that the gradient model may include any method to represent depth, other than a gray scale template. For example, the gradient model may include a plurality of colors, a collection of numeric values, or simple instructions to represent depth. One example of simple instructions include a direction (background or foreground) and a degree of depth that relates to a pixel offset. It should be noted that the specified pixel offset is a creative determination defining the desired perceived location of the feature to the viewer, which can be derived by utilizing the direct mathematical relationships between the relative position of the viewer to the screen plane, the horizontal size of the screen plane and the pixel resolution of the stereoscopic frame being viewed.
Therefore, based on the determined depth pixel offset (which perceptually positions a layer along the perceptual z-axis of the stereoscopic 3-D frame) and the gradient model pixel offset (which adjusts the depth pixel offset for one or more pixels of an object to provide the object with the appearance of having volume and a more detailed depth), the left eye layer and right eye layer, and specific portions of the left and/or right eye layer, are shifted to provide the stereoscopic 3-D frame with the desired stereoscopic 3-D effect. Thus, in some embodiments, each pixel of a particular stereoscopic 3-D frame may have an associated pixel offset that may differ from the pixel offsets of other pixels of the frame. In general, any pixel of the 2-D frame may have an associated pixel offset to place that pixel in the appropriate position in the rendered stereoscopic 3-D frame.
Operations 110 through 150 may repeated for each layer of the 2-D frame such that corresponding left eye layers and right eye layers are created for each layer of the frame. Thus, upon the creation of the left eye and right eye layers, each layer of the frame has two corresponding layers (a left eye layer and a right eye layer) that is shifted in response to the depth pixel offset for that layer and to the volume pixel offset for the objects of the layer.
In operation 160, the computer system combines each created left eye layer corresponding to a layer of the 2-D frame with other left eye layers corresponding to the other layers of the 2-D frame to construct the complete left eye frame to be presented to the viewer. Similarly, the computer system combines each right eye layer with other right eye layers of the stereoscopic 3-D frame to construct the corresponding right eye frame. The combined left eye frame is output for the corresponding stereoscopic 3-D frame in operation 170 while the right eye frame is output for the corresponding stereoscopic 3-D frame in operation 180. The left eye frame corresponds to a first or left viewing location and the right eye frame corresponds to a second or right viewing location horizontally shifted along a lateral axis relative to the left eye frame.
When the left eye frame and the right eye frame are viewed simultaneously or nearly simultaneously, the two frames provide a stereoscopic effect to the frame, converting the original 2-D frame to a corresponding stereoscopic 3-D frame. For example, some stereoscopic systems provide the two frames to the viewer at the same time but only allows the right eye to view the right eye frame and the left eye to view the left eye frame. One example of this type of stereoscopic systems is a red/cyan stereoscopic viewing system. In other systems, the frames are provided one after another while the system limits the frames to the proper eye. Further, to convert a 2-D film to a stereoscopic 3-D film, the above operations may be repeated for each frame of the film such that each left eye and right eye frame may be projected together and in sequence to provide a stereoscopic 3-D effect to the film.
As described, the stereoscopic 3-D effects of a frame may be based on variety of techniques, such as perceptual z-axis positioning, inflation, and use of gradient models. The utilization of a gradient model, also referred to as templates, to create an stereoscopic 3-D effect to the frame is discussed herein. Particularly,
Beginning in operation 510, one or more layers or objects are extracted from the 2-D frame, selected or otherwise obtained. In operation 520, the computer system obtains a gray scale gradient model for application to the extracted layer such that each pixel of the gradient model corresponds to one or more pixels of the layer. The system may obtain a gradient model by automated comparison of the image shape against a plurality of gradient model shapes. Alternatively, a user may select a gradient model, from a plurality of gradient models, with a shape similar to that of the image for which the model will be used to provide stereoscopic depth. The gradient models may include a gray scale template comprising various shades of a gray color (including white and black) for each pixel of the gradient model. Several examples of gray scale gradient models are discussed herein, but it should be appreciated that the gradient models may take any shape. In one embodiment, the computer system may select from a list of several gradient models to apply to the layer or portions of the layer. In another embodiment, the gradient model may be drawn or otherwise created to correspond to a layer, an object or a portion of either. For example, a layer may include a character object of a 2-D frame. However, it may be desired to provide a stereoscopic 3-D effect to the arm of the character separate from the rest of the character object, such as if the character is pointing into the foreground of the stereoscopic 3-D frame. In this example, a gradient model may be created that takes the relative shape of the arm of the character, or closely resembles the general arm shape, such that the pixel offsets corresponding to the pixels defining the character's arm may be determined to provide the appearance that the arm has a stereoscopic 3-D depth.
It is also possible to apply different gradient models to different portions of an image. For example, in the context of an image of a hot air balloon, a circular gradient model, perhaps after being elongated, may be used to provide the balloon portion with stereoscopic depth, whereas a rectangular gradient model may be used to provide the basket portion with stereoscopic depth.
Several examples of gradient models are provided herein.
The operations of
Upon selection of the gray scale gradient model, an animator or artist adjusts the model in response to one or more indicators of a layer or object in operation 530. In one example, the trapezoidal gradient model 600 of
In addition, the various aspects of the gradient models may be animated to mirror or approximate the movement of an object of a scene of an animated or live-action film. For example, a scene may include several frames that, when displayed in sequence, shows an animated ball bouncing into the background of the scene. As described herein, a radial gradient model 910 is utilized to provide the ball object with a stereoscopic volume. In some embodiments, the radial gradient model is applied to each frame of the scene individually. In alternate embodiments, however, a first key frame is identified as a starting point for the animated gradient model, such as a frame when the bouncing ball object is at the lowest point. A second key frame is also identified, such as a frame when the ball object is at the highest point. To provide for the animated gradient model, a radial gradient model is applied to the ball object in the first key frame to provide a starting set point for the gradient model and another radial gradient model is applied to the ball object in the second key frame to provide an ending set point. A computer system then determines the movement of the radial gradient model from the starting set point to the ending set point, such that the radial gradient model appears to animate with the same movement as the ball object. The movement of the gradient model is determined through a interpolation or in-between process. Through this technique, a gradient model is utilized to provide the gradient models for an entire scene for an object, thereby reducing the amount of time needed to provide stereoscopic effects to the scene.
Any aspects of the gradient models may be animated in this manner. In one example, the shape of the gradient model is altered to mirror or approximate an object of a scene that also has a changing shape. This is achieved by providing a plurality of set points of the object that define the change in shape of the object. Further, the gray scale associated with any gradient model may also be animated. In one example, an object moves between the foreground and background of the stereoscopic frame during a scene of a film. Thus, in a similar manner as described, the gray scale of a gradient model is also animated by providing a plurality of set points that define the movement of the object through the perceptual z-axis of the stereoscopic scene.
Further, the gradient model 700 provides a gray scale template, or other stereoscopic depth attributes, that when applied to the layer as described herein, provides the room layer 800 with the appearance, when viewed with the appropriate stereo viewing glasses or otherwise, of extending into the background of a stereoscopic 3-D frame. In one example, the side walls of the room layer 800 appear to extend into the background. Such an effect may be achieved through the utilization of the altered gradient model 700 of
The manipulation of the aspects of the gradient model may be performed in a variety of ways. In one embodiment, an artist or animator manually adjusts the gradient model through a mouse-type device or other input device to a computer system, such as by pointing and clicking, and then manipulating the gradient shape (e.g., dragging corner joint C from the position shown in
To further adjust the shape of the gradient models, one or more cues as to the proper depth of the various features of an object is obtained from the 2-D frame. For example, the 2-D frame from which the object is extracted may be an animated frame including several ink lines that define several features of the object, such as ink lines that define a character's facial features, clothing and/or appendages. Such ink lines may be considered when applying a gradient model to the layer. For example, the ink lines of a 2-D frame may provide a sense of depth by making objects in the foreground of the frame larger than similar objects in the background of the frame. Such a perception may be indicated in a character's arm by making the hand larger than the rest of the arm, thereby indicating that the hand is located further the foreground of the stereoscopic 3-D frame than the rest of the character. Thus, by analyzing the ink lines of the character or object, separate portions of the object may be given an adjusted pixel offset value that is more or less than the pixel offset of the rest of the object to provide a more detailed stereoscopic 3-D effect to the object. Several techniques may be utilized to identify and isolate portions of the object to perform gradient modeling. Several such techniques are described in more detail in U.S. Pat. No. 8,351,689 entitled “Apparatus and Method for Removing Ink Lines and Segmentation of Color Regions of a 2-D Image for Converting 2-D Images into Stereoscopic 3-D Images” by Tara Handy Turner et. al., the contents of which are incorporated in their entirety by reference herein.
Returning to
The gradient model gray scale may be utilized to specify a pixel offset for one or more pixels of the layer that determines the depth that each pixel of the layer may appear in the stereoscopic 3-D frame. For example,
As shown, the object 922, after application of the gradient model gray scale, appears to the viewer 920 to have a stereoscopic 3-D volume that is based on the gradient model 910 provided in
It should be appreciated that the pixel offset applied to the object may be based on the gradient model in any manner. For example, the darker portions of the gradient model 910 may provide a larger pixel offset than the whiter portions, or only those pixels colored with a specific shade of gray from the gradient model may have a pixel offset. Further, the pixel offset applied to a pixel of the object may place the pixel either in the foreground or in the background in relation to the other pixels of the object. In other words, the pixel offset for any particular shade of gray of the gradient model may have a value as well as a direction (foreground or background). For example, a grayscale value of 50% gray may indicate no pixel offset at the corresponding pixel location while a value of black places the pixel in the background and a value of white may place the pixel in the foreground with respect to the rest of the object. In general and used herein, however, those portions of the object with larger pixel offset may be perceived further from the rest of the object and closer to the viewer when viewed in stereoscopic 3-D. Those portions with smaller pixel offsets may have little to no stereoscopic 3-D effect applied. Further, each shade of gray within the gradient model may have an associated volume pixel offset. Therefore, the object may have several pixel offsets associated with the pixels of the object corresponding to the many shades of gray within the gradient model. Further, the more shades of gray utilized to acquire the pixel offset map, the more detailed the stereoscopic volume technique may appear when rendered in stereoscopic 3-D.
Returning to
The operations of the method of
Several aspects of the first example 1310 of the jointed gradient model may be adjusted to match one or more objects of a 2-D frame. For example, the radius of the circle shape 1314 of the depth gradient 1310 may be adjusted to match an aspect of an object. In the embodiment shown, the width of the rectangle portion 1312 of the jointed gradient model 1310 is the same as the diameter of the circle 1314 portion. However, as the diameter of the circle 1314 is increased or decreased as desired, the width of the rectangle 1312 may or may not vary in response. In an alternate embodiment, the rectangle 1312 takes the form of a quadrangle shape in response to the modification to the radius of the circle 1314, with a first width of the quadrangle matching the diameter of the circle where the two shapes meet and a second width different than the first width at the opposite end of the quadrangle. Generally, any aspect of the shape of the jointed gradient model 1310 may be adjusted to fit the objects of the 2-D frame.
The manipulation of the aspects of the depth model may be performed in a variety of ways. In one embodiment, an artist manually adjusts the depth model through a mouse or other input device to a computer system, such as by pointing and clicking. In another embodiment, the artist adjusts the aspects of the depth model by providing coordinates, such as [x,y] positions for the one or more points of the depth model. In still another embodiment, the shape of the depth model is adjusted automatically by the computer system in response to several aspects of the 2-D frame. As described, the values may vary over time in response to the movement and deformation of the object or layer to which the gradient model is applied.
A second example 1320 is also illustrated that includes a single joint. The single joint embodiment 1320 includes a first segment 1322, a second segment 1324, a first joint 1326 that connects the first segment and the second segment and a circle shape 1328 defining the end of the gradient model. In addition, each of the separate portions of the single joint gradient model 1320 is adjustable. Further, as shown, a gray scale template is included in the gradient model 1320 such that the circle shape 1328 is white in color, with the gray scale template transitioning into a dark color as the gray scale extends away from the circle shape, with the darkest part of the gradient model at the first segment 1322. Again, the gray scale for this embodiment may take any coloring scheme as desired. For example, the circle shape 1328 may be white in color, while the joint shape 1326 may be 75% gray in color and the rectangular end point may be 10% gray in color. The colors in the segments between these two points would transitions along the grayscale in any fashion, such as linearly or exponentially, to the values at the joint or end points.
A third example 1330 is also illustrated that includes two joints. The two joint embodiment 1330 includes a first segment 1332, a second segment 1334 and a third segment 1336. Each of these segments may be connected to another segment through a first joint 1338 or a second joint 1340. Further, the first segment 1332 and the third segment 1336 includes circle shapes 1342, 1344 that define the end of the segments opposite the first and second joints. As with the above examples, the aspects of this embodiment are also adjustable, including the width of each segment, the radius of each joint and the radius of each circle shape.
A gray scale template is also included bounded by the portions of the two joint gradient model 1330. In addition, each of the separate portions of the single joint gradient model 1320 is adjustable. In the embodiment shown, the circle shapes 1342, 1344 are white in color, with the gray scale template transitioning into a dark color as the gray scale template extends away from the circle shapes, with the darkest part of the gradient model along the second segment 1334. Again, the gray scale template for this embodiment may take any coloring scheme as desired.
The embodiments shown in
As shown, the gradient models discussed herein corresponds to an object or layer of a 2-D frame such that the pixels of the gradient model 1400 correspond to one or more pixels of the layer. In this example, the layer includes a character's arm as an object. Thus, the gradient model 1400 comprises pixels that correspond to the object in a one to one fashion. Further, the gradient model 1400 includes a gray scale template with various shades of gray representing a pixel offset to be applied to the object or layer. In particular, the gradient model 1400 provides a gray scale template for the character's arm object such that the character's hand is whiter in color than the rest of the character's arm, with the portion of the arm that attaches to the rest of the character is black or near black.
In this example, the whiter portions of the gray scaled template provide a greater pixel offset to the corresponding pixels of the object than the darker portions. When rendered in stereoscopic 3-D, those portions with a greater pixel offset appear to extend further from the rest of the layer. In one embodiment, the character's arm extends into the foreground while, in another embodiment, the character's arm appears to extend into the background of the stereoscopic 3-D frame. Such a gradient model may be useful in situations where the character is pointing either into the foreground or background. Thus, rather than having the character appear flat, the character's arm appears to actually extend away from the character's body. By creating a gray scale gradient model and adjusting the pixel offset of the pixels of the layer based on the gradient model, a more detailed stereoscopic 3-D effect may be achieved for one or more objects of a 2-D frame.
The system 1500 includes a database 1502 to store one or more scanned or digitally created layers for each image of the multimedia presentation. In one embodiment, the database 1502 may be sufficiently large to store the many layers of an animated feature film. Generally, however, the database 1502 may be any machine readable medium. A machine readable medium includes any mechanism for storing or transmitting information in a form (e.g., software, processing application) readable by a machine (e.g., a computer). Such media may take the form of, but is not limited to, non-volatile media and volatile media. Non-volatile media includes optical or magnetic disks. Volatile media includes dynamic memory. Common forms of machine-readable medium may include, but are not limited to, magnetic storage medium (e.g., floppy diskette); optical storage medium (e.g., CD-ROM); magneto-optical storage medium; read only memory (ROM); random access memory (RAM); erasable programmable memory (e.g., EPROM and EEPROM); flash memory; or other types of medium suitable for storing electronic instructions. Alternatively, the layers of the 2-D images may be stored on a network 1504 that is accessible by the database 1502 through a network connection. The network 1504 may comprise one or more servers, routers and databases, among other components to store the image layers and provide access to such layers. Other embodiments may remove the database from the system 1500 and extract the various layers from the 2-D image directly by utilizing the one or more computing systems.
The system 1500 also include one or more computing systems 1506 to perform the various operations to convert the 2-D images of the multimedia presentation to stereoscopic 3-D images. Such computing systems 1506 may include workstations, personal computers, or any type of computing device, including a combination therein. Such computer systems 1506 include several computing components, including but not limited to, one or more processors, memory components, I/O interfaces, network connections and display devices. Memory and machine-readable mediums of the computing systems 1506 may be used for storing information and instructions to be executed by the processors. Memory also may be used for storing temporary variables or other intermediate information during execution of instructions by the processors of the computing systems 1506. In addition, the computing systems 1506 may be associated with the database 1502 to access the stored image layers. In an alternate embodiment, the computing systems 1506 may also be connected to the network through a network connection to access the stored layers. The system set forth in
It should be noted that the flowcharts of
Embodiments for using the created left and right eye images created above using the techniques discussed with respect to
The computing devices 1602, 1612 may also include a display 1604, one or more processing elements 1620, a networking or communication interface 1622, memory components 1624, a power source 1626, one or more sensors 1608, 1618, and one or more input/output (I/O) devices 1606, 1614, 1616. Each of the these components will be discussed in turn below.
The display 1604 provides a visual output for the computing device 1602. For example. In some embodiments, the display 1604 may be a liquid crystal display screen, plasma screen, light emitting diode screen, and so on. The display 1604 may also function as an input device in addition to displaying output for the computing device 1602. For example, the display 1604 may include capacitive touch sensors, infrared touch sensors, or the like, that may capture a user's input to the display 1604. Additionally, although the display 1604 is shown as being integrated with the computing device 1602, in other embodiments the display 1604 may be separate from the computing device 1602, 1612, such as a standalone monitor or the like. It should be noted that in many embodiments the display 1604 may be a monoscopic or 2-D display that is configured to display 2-D images. However, in other embodiments, the display 1604 may be a stereoscopic display that can display the stereo pair images simultaneously.
The processing element 1620 may be substantially any type of electronic device capable of processing, receiving, and/or transmitting instructions. For example, the processing element 1620 may be a microprocessor or a microcomputer. Additionally, the processing element 1620 may include one or more processors. For example, select components of the computing device 1602 may be controlled by a first processing element, and other components of the computing device 1602 may be controlled by a second processing element, where the first and second processing elements may or may not be in communication with one another. The one or more processing elements 1620 may be specialized for select tasks, e.g., a graphics processing unit, or may be more generalized, e.g., central processing unit. The discussion of any particular task being executed by the one or more processing elements herein may be completed by one processing element or a combination of processing elements.
The memory components 1624 of the computing device 1602 are used to store electronic data that can be utilized by the computing device 1602. For example, the memory 1624 may store electrical data or content, e.g., image files, video files, audio files, document files, and so on, corresponding to various applications. The memory 1624 may be, for example, non-volatile storage, a magnetic storage medium, optical storage medium, magneto-optical storage medium, read only memory, random-access memory, erasable programmable memory, flash memory, or a combination or one or more types of memory components.
The network/communication interface 1622 provides communication to and from the computing device 1602. For example, the network/communication interface 1622 may transmit data to other computing devices through a wireless network (WiFi, Bluetooth) or a wired network (Ethernet).
The power source 1626 provides power to the various components of the computing device 1602. The power source 1626 may include one or more rechargeable, disposable, or hardwired sources, e.g., batteries, power cord, or the like. Additionally, the power source 1626 may include multiple types of connections or components that provide different types of power to the device 1602.
The computing device 1602 may further include one or more sensors 1608, 1618. The sensors 1608, 1618 sense one or more characteristics of a user input and/or external/internal parameters of the computing device 1602. For example, the sensors 1608, 1618 may include accelerometers, gyroscopes, light sensors, image sensors (e.g., cameras), force sensors, capacitive sensors, or the like. In many embodiments, the sensors 1608, 1618 are used to detect a user input to the computing device 1602 that may be analyzed to determine a visual output on the display 1604. For example, the sensors 1608, 1618 may include an image sensor that captures data about the user and can be used to track the user's eyes or focus, movement of the user's head, or the like. In another example, the sensors 1608, 1618 may be used to detect movements of the computing device 1602 caused by the user, e.g., rocking, tilting, or the like.
In embodiments where two or more sensors are used, the sensors may act jointly or otherwise be evaluated together in order to determine a user input. For example, the user may provide a touch input to the display 1604 and at the same time rock the computing device 1602 in a first direction. In this example, the sensors 1608, 1618 may be configured to detect both the input to the display and the movement input and the combined input may be used as the user input to the device.
In addition to the sensors 1608, 1618, the computing device 1602 may also include one or more I/O devices 1606, 1614, 1616. The I/O devices 1606, 1614, 1616 provide a user the ability to directly input data to the computing device 1602. Examples of I/O devices 1606, 1614, 1616, include but are not limited to, a keyboard 1614, a mouse 1616, an input button 1606, a stylus, a touch screen display, and so on.
It should be noted that the computing devices and components illustrated in
The computing device 1602 and/or the 3-D animation workstation 1506 may be used to analyze stereo pairs created as described above in
The separation distance between the left eye image 1640 and the right eye image 1642 allows the foreground object 1632 to appear as though it is in front of the display 1604, and the background object 1630 to appear as though it is behind the display 1604 plane when a user views both images 1630, 1632 simultaneously or substantially simultaneously (with the left eye image 1640 only being viewed by the left eye of a viewer, and the right eye image 1642 only being viewed by the right eye of a viewer, e.g., through polarized glasses, lenticular lenses, autostereoscopy display, or the like). However, for a viewer without specialized glasses on a monoscopic display, the output of the display of the left eye image 1640 and the right eye image 1642 will appear blurry, since the two images are displayed simultaneously, and the left and right eyes of the viewer are exposed to both images simultaneously. That is, the objects 1630, 1632 will not appear to have a depth or a volume, but will appear as flat and blurry objects.
To allow a viewer of a monoscopic display to view the content of the images 1640, 1642 without using specialized components, such as polarized glasses or lenticular lenses, the system 1600 provides images that fall between the viewpoints of the left and right images 1640, 1642 and may then display those viewpoint images separately and sequentially.
In one embodiment, the computing device 1602 may interpolate and/or extrapolate viewpoints along a depth spectrum 1645. In this example, the left eye image 1640 may be set at a first perspective location 1650, and the right eye image 1642 may be set at a second perspective location 1652. In this example, the distance between the first perspective location 1650 and the second perspective location 1652 is the interocular distance. This distance D1 is typically used by the methods of
The computing device 1602 may then assign numbers, coordinates, indices, or substantially any other parametric form to perspective locations 1650, 1652 for stereo image pair 1640, 1642. The coordinates, such as numbers, assigned to each of the perspective locations 1650, 1652 represents the relative relationship between the left eye image and the right eye image. It should be noted that in the following examples, a number is used as the parametric element used to designate the relationship between the left eye image and the right eye image. However, it should be noted that many other forms are envisioned and the below numeric examples are meant as illustrative only. For example, after assigning the first perspective location 1650 and the second perspective location 1652 a number, the computing device 1602 interpolates between the two locations 1650, 1652 to determine a plurality of intermediate viewpoint locations.
Once the viewpoint locations have been determined, the computing device generates intermediate viewpoint images 1644a-1644n. The intermediate viewpoint images 1644a-1644n are images at viewpoints or perspectives positioned between the two perspective locations 1650, 1652. As one example, the computing device 1602 constructs new images at new viewpoints using the methods described above with respect to
In one example, the first perspective location 1650 is at −2 and the second perspective location 1652 is at +2. In this example, intermediate viewpoint images 1644a-1644n are set as images at viewpoint locations anywhere between −2 and +2, e.g., −1 and +1 or −0.5 and +0.5. The range and number of viewpoint images created by the computing device 1602 may be defined by the viewer, the system, or by the content being analyzed.
In addition to interpolating images, the computing device 1202 may also extrapolate exterior viewpoint images 1646a-1646n. The exterior viewpoint images 1646a-1646n are viewpoints that are defined at perspective locations outside of the pixel offset distance D1 (e.g., outside of the range between the first perspective location 1650 and the second perspective location 1652). In creating the exterior viewpoint images 1646a-1646n, the computing device determines one or more locations that fall outside of the perspective locations of the left and right eye images 1640, 1642, i.e., exterior viewpoint locations. Once the exterior viewpoint locations are determined, the computing device may re-execute the methods described above with respect to
It should be noted that although the viewpoint images are illustrated as being taken across various lateral locations along the frame, the viewpoints may be taken along substantially any axis. For example, the viewpoints may be interpolated along a vertical axis and/or combinations of axes (e.g., diagonal, and/or forward-center-back combinations). In short, the interpolation may be varied based on the desired output images.
As the computing device 1602 determines the plurality of intermediate and exterior viewpoints, the computing device 1602 also determines data corresponding to the location of the objects 1630, 1632 based on the new viewpoint, as well as additional object and other scene characteristics that may vary based on viewpoint. For example, a background scene in which the objects are placed may include different features that are visible only at select viewpoints or that otherwise change as the viewing position changes. In these instances, the computing device 1602 will determine the new data for the newly visible pixels based on the viewpoint of the viewer for both the objects 1630, 1632 as well as other elements within the scene. For example, the computing device 1602 may analyze adjacent pixels to the newly visible pixels to determine the color scheme for the select pixels.
In one embodiment, the computing device may generate the intermediate viewpoint images using the same techniques used to create the left and right eye images, but using the intermediate or exterior viewpoints as inputs. In this example, the viewpoint images may be rendered by using data used to create the original left and right eye images, but provides a different result, since the viewing locations are the intermediate or exterior viewpoint locations. It should be noted that each of the new viewpoint images will show and/or hide pixels differently from each other and from the original left and right eye images, since they will each be captured at a different viewpoint location. In another embodiment, the computing device may generate the intermediate viewpoint images by analyzing the left and right eye images themselves, rather than repeating the processes used to create with the left and right eye images with the originally provided content.
It should be noted that in the example shown in
A method for using the stereo pairs generated by the method illustrated in
It should be noted that the stereoscopic image pairs may be previously generated using the methods as described above with respect to
With continued reference to
Once the processing element 1620 has determined the additional viewpoints, the method 1700 may proceed to operation 1706. In operation 1706, the processing element 1620 generates images for each of the interpolated viewpoints. In one example, the processing element 1620 creates images by using the methods of
In some instances, each of the viewpoint images may be generated individually. However, in other instances, each of the viewpoint images may be generated simultaneously, depending on the functionalities and features of the system used.
Once the viewpoint images 1644a-1644n, 1646a-1646n have been generated by the processing element 1620, the method 1700 may proceed to operation 1708. In operation 1708 the viewpoint images 1644a-1644n, 1646a-1646n may be stored in the memory component 1624 and/or displayed on the display 1604. In one embodiment, the viewpoint images 1644a-1644n, 1646a-1646n are generated and then stored in the memory component 1624, which allows the viewpoint images to be displayed when desired and/or transmitted via the networking interface 1622 to one or more computing devices. In another embodiment, one or more viewpoint images 1644a-1644n, 1646a-1646n may be generated dynamically by the processing element 1620. After generation, the images may be displayed by the display 1604. For example, as a particular viewpoint image is to be displayed, the processing element 1602 generates the image and then provides the data for the image to the display 1604 which displays the image. In yet another embodiment, the viewpoint images 1644a-1644n, 1646a-1646n may be displayed and stored in operation 1708, e.g., as the viewpoint image is displayed on the display 1604, it is also being stored in the memory component 1624.
After operation 1708, the method 1700 may proceed to operation 1710. In operation 1710, the processing element 1602 determines whether one or more additional viewpoint images should be generated based on another frame and/or the same frame of the content. For example, the method 1700 may be completed for a first frame of an animation sequence, such that the viewpoint images created correspond to the first frame and then the method 1700 may be repeated for a second frame of the animation sequence to create additional viewpoint images for that frame. The processing element 1620 may analyze a user input (e.g., a user selection) or may analyze the content itself to determine if more viewpoint images should be created. For example, the processing element 1620 may create viewpoint images for each frame of the content until viewpoint images have been created for every frame.
If another set of viewpoint images is to be created, the method 1700 returns to operation 1702. However, if another set of viewpoint images is not to be created based on the decision in operation 1710 the method 1700 proceeds to an end state 1712 and terminates.
Examples of images created using the method 1700 of
In this image 1802, different features of the object 1806 may be visible as the viewer is viewing the object 1806 from a different location. As the left and right eye images 1640, 1642 and the pixel offset include not only layer information but also volume information for the object 1806, the viewer views new features and receives new information in the second image 1802 due to the new viewpoint. For example, as the viewpoint changes and a new image at a particular viewpoint is created, the viewer may receive new data similar to a viewer walking around a 3-D object. Continuing with this example, as the user walks around a 3-D object, the viewer continues to view the object, but as the viewpoint changes, the features visible to the user, as well as the angle of previously visible features, change. These changes provide the viewer with additional information about the object. Similarly, because the first image 1800 and the second image 1802 are rendered from different viewpoints, the viewer receives different information about the object 1806, the background 1804, etc., by viewing the first image 1800 and the second image 1802. For example, as the viewpoint changes from the first viewpoint to the second viewpoint, the viewer of the second image 1802 views a second object 1808 that is not visible from the first viewpoint.
With reference to
The image pairs created and used with the method 1700 include depth information for not only the layer of each object 1806 and the background 1804, but also volume information for portions of each object 1806. This allows the first and second images 1800, 1802 to provide different information to the viewer than the original stereo pairs. In particular, the volume information, such as the warping that is induced in the object, allows some pixels of an object within a frame to appear closer to the viewer and other pixels to appear farther away from the viewer and due to the offset of the object within the frame itself, provides the viewer with a more natural depth appearance that combines the depth of the object within the frame, along with the volume appearance due to the warped shape of the 2-D object. With the images 1800, 1802 the volume data for the object 1806 provides the user with new information, such as the rounded interior portions of an object, and provides the user with an experience similar to walking around a 3-D object. As such, the viewpoint images provide a user with a more realistic 3-D depth illusion.
In addition to providing a new viewpoint for a single frame, the method 1700 may also be used to create animation or movement sequences that include a viewpoint change throughout the animation. These examples allow a viewer to experience walking within a scene while the scene is being acted out (e.g., animated), similar to an experience a person may have while walking on a movie set as the actors are filming. By creating images from different viewpoints during a series of frames, the viewer may be presented with additional information and a different perspective while experiencing the movement within the frame.
With reference to
With reference to
In the examples shown in
The computing device 1604 may be configured to play the images 1820, 1822, 1824, 1826 in sequential order. As each of the images 1820, 1822, 1824, 1826 are captured from a new viewpoint, where the viewpoint changes progressively along a lateral axis of the frame, when the images are played sequentially, the images have a 3-D effect, although each image is displayed separately from the other images (e.g., images are not displayed in pairs simultaneously). The depth effect or depth illusion is due to viewpoints between the left and right eye parallax images being shown sequentially and progressively. Based on the speed of the playback, the user views the 3-D effect.
Using the images of
A first method for using the system 1600 of
With reference to
In a second example, one or more movement sensors such as accelerometers or gyroscopes may be used to detect movement of the computing device 1604 or an accessory. In this example, as the user rocks the computing device 1604 side to side, rotates, tilts, or otherwise moves the computing device 1604, the sensors of the computing device can detect this input by the user.
In a third example, the user's position relative to the computing device 1602 and/or display 1604 may be used to determine the viewpoint. For example, in embodiments where the display 1604 is a movie theater or other large screen, a display at a theme park, or a stand-up monitor (e.g., standalone monitor), a camera or other sensor can detect the user's position relative to the display 1604. The viewpoint may then be selected based on the actual viewing location of the display 1604 by the user.
Other examples include detecting the input through one or more peripheral devices or accessories, e.g., the mouse 1616, keyboard 1614, or a stylus. It should be noted that the user input may be a direct action by the user (e.g., swiping a finger along the display, pressing a button, etc.) and/or may be an indirect action by the user (e.g., watching the display and moving his or her eyes along with the character). In some instances, the user input may be correlated to location of the viewpoint. For example, if the user presses the display 1604 to enter an input (e.g., through a touch screen), the viewpoint may be the location of the user's touch. It should be noted that the examples of user input described herein are meant as illustrative only as there are many other types of detecting or receiving user input that are envisioned to be used with this system 1600.
With reference to
In instances where the user input has not changed, the method 1900 may return to operation 1902. However, in instances where the user input has changed from the previous input, the method 1900 may proceed to operation 1906. In some embodiments, operation 1904 may be omitted, and the presence of a user input may be sufficient to proceed to operation 1906.
In operation 1906, the processing element 1620 may determine a new viewpoint based on a user input. For example, the computing device 1602 may determine a new viewpoint based the user's actual view of the display 1604 (e.g., movement of the user across the screen correlates to a change in the image viewpoint). In another example, the processing element 1620 may correlate a user input to a viewpoint along the viewpoint spectrum 1646. In this example, a first user input may correlate to a first viewpoint at a first location along the viewpoint spectrum 1646, a second user input may correlate to a second viewpoint, and so on. In these embodiments, the characteristics of the user input may be used to determine the viewpoint, e.g., the speed, force, repetition, or the like of the user input may be correlated to assign a new viewpoint. In yet another example, the viewpoint may be unrelated to the user input except as an indicator to change the viewpoint, i.e., the viewpoint location may be predetermined and the user input may only be used to change between predetermined viewpoints. As one example, the viewpoints may be configured to change progressively, e.g., move left to right across the viewpoint spectrum 1646, and the user input indicates a change to the next viewpoint based on the progression.
Once the processing element 1620 has determined the new viewpoint, the method 1900 may proceed to operation 1908. In operation 1908, the processing element 1620 determines whether a new frame is desired. For example, the processing element 1620 analyzes whether the animation sequence has moved from a first frame to a second frame, in which case a new frame (the second frame) is required. To determine whether a new frame is required, the processing element 1620 may analyze the content to determine if the content includes a frame sequence or only a single frame (e.g., still image). If the content does include a plurality of frames, the processing element 1620 may further analyze whether the sequence has progressed to the next frame.
If the processing element 1620 determines in operation 1908 that a new frame is not required, the method 1900 may proceed to operation 1910 and the processing element 1620 determines the new viewpoint image. For example, the processing element 1620 determines which of the plurality of viewpoint images 1644a-1644n, 1646a-1646n to display, where the image detected in the new viewpoint may be of the same frame as currently being displayed, but from the new viewpoint.
In operation 1908, if the processing element 1620 determines that a new frame is required, the method 1900 proceeds to operation 1912. In operation 1912, the processing element determines the new frame at the new viewpoint. For example, the processing element determines which frame should be displayed along with which of the plurality of viewpoint images 1644a-1644n, 1646a-1646n should be displayed.
After either operation 1910 or operation 1912, the method 1900 proceeds to operation 1914. In operation 1914, the processing element 1620 renders the new image which includes a new viewpoint and optionally a new frame. It should be noted that rendering the image may include creating the image (e.g., using the method of
With reference again to
Using the method 1900 illustrated
In other embodiments, the system 1600 may be used to vary a sequence of images based on the user input. In these embodiments, the animation sequence may be independent from the viewpoint, except in determining the initial viewpoint from which the sequence may be launched.
Once a user input has been detected, the method 1950 may proceed to operation 1954. In operation 1954, the processing element 1620 may determine whether there has been a change in user input. This operation 1954 may be substantially the same as operation 1904 in
After operation 1956 or if in operation 1954 there was no change in user input, the method 1950 may proceed to operation 1958. In operation 1958, the processing element 1620 detects the playback time, i.e., the current location of the image sequence. As one example, the processing element 1620 may determine the current image being displayed on the display 1604 and determine where that image falls within the image sequence. As another example, the processing element 1620 may view the current time of the playback sequence. There are many other methods which could be used to determine the playback location of the image sequence at a particular time, and the above examples are meant as exemplary only.
With continued reference to
If a new frame in the animation sequence is not going to be displayed or after the new frame has been determined in operation 1962, the method 1950 may proceed to operation 1964. In operation 1964 the processing element 1964 renders the new image. It should be noted that rendering may be either dynamically generating the new image, pulling the image from the memory component 1624, and/or a combination of generating the image and using stored portions of the image. After operation 1964, the method may return to operation 1952 and repeat.
In this example, the new image will include the new frame or the current frame, along with the viewpoint determined in operations, 1954, 1956. For example, for instances where a user input changes, the viewpoint of the image sequence to be displayed may change, but the frames of the image sequence may not change, except to be rendered from a different viewpoint. Thus, based on when the user input is detected or when the computing device 1604 searches for a user input, the image sequence may be changed to be rendered from the new viewpoint. In some instances, the computing device 1604 may change the viewpoint along the entire length of the image sequence, such as when as user provides input to the computing device 1604 at each frame. However, in other embodiments, the computing device may detect a user input at discrete intervals and the image sequence may play sequentially from the last determined viewpoint until the specified interval. This may allow the user to provide a first input regarding viewpoint and then play the image sequence.
However, in other examples, such as the method 1900 shown in
It should be noted that the techniques, system, and methods described herein may be used in a variety of different contexts to provide a user with a 3-D depth experience on a 2-D display. For example, the methods may be used in other instances where the illusion of depth on a 2-D plane may be desirable (e.g., theme parks, video games or the like). As such, the discussion of any particular embodiment is meant as exemplary only. Additionally, although the techniques, methods, and systems have been discussed with respect to rendering 2-D images to present an appearance of depth, in some embodiments, the techniques may be applied to 3-D images. In these instances, viewpoints for pairs of stereo images may be created and may be displayed offset to each other when the stereo images are displayed. This allows the viewpoint of a 3-D display (e.g., a stereo pair being displayed simultaneously) to vary based on a user input, animation sequence, or substantially any other factor.
The foregoing merely illustrates the principles of the invention. Various modifications and alterations to the described embodiments will be apparent to those skilled in the art in view of the teachings herein. It will thus be appreciated that those skilled in the art will be able to devise numerous systems, arrangements and methods which, although not explicitly shown or described herein, embody the principles of the invention and are thus within the spirit and scope of the present invention. From the above description and drawings, it will be understood by those of ordinary skill in the art that the particular embodiments shown and described are for purposes of illustrations only and are not intended to limit the scope of the present invention. References to details of particular embodiments are not intended to limit the scope of the invention.
This application is a continuation of U.S. patent application Ser. No. 14/285,240 entitled “Parallax Based Monoscopic Rendering,” filed May 22, 2014, which is incorporated by reference in its entirety herein. This application is related to U.S. patent application Ser. No. 12/571,412 entitled “Gradient Modeling Toolkit for Sculpting Stereoscopic Depth Models for Converting 2-D Images Into Stereoscopic 3-D Images,” filed Sep. 30, 2009 which is incorporated by reference in its entirety herein.
| Number | Date | Country | |
|---|---|---|---|
| Parent | 14285240 | May 2014 | US |
| Child | 16154506 | US |
