Patent Application
20240314461
Examples set forth in the present disclosure relate to visual-inertial tracking. More particularly, but not by way of limitation, the present disclosure describes methods and systems for computing poses for images captured by rolling shutter cameras.
Rolling shutter cameras capture an image by rapidly scanning across a scene such that not all parts of the image are recorded at exactly the same instant. Artefacts may arise if there is relative movement between the camera and a scene during image acquisition.
Features of the various implementations disclosed will be readily understood from the following detailed description, in which reference is made to the appending drawing figures. A reference numeral is used with each element in the description and throughout the several views of the drawing. When a plurality of similar elements is present, a single reference numeral may be assigned to like elements, with an added lower-case letter referring to a specific element.
The various elements shown in the figures are not drawn to scale unless otherwise indicated. The dimensions of the various elements may be enlarged or reduced in the interest of clarity. The several figures depict one or more implementations and are presented by way of example only and should not be construed as limiting. Included in the drawing are the following figures:
Various implementations and details are described with reference to examples including a system for providing visual-inertial tracking of an eyewear device with a first rolling shutter camera. The eyewear device includes a position determining system. Visual-inertial tracking is implemented by sensing motion of the eyewear device and obtaining an initial pose for the first rolling shutter camera, then capturing an image of an environment in which the image includes feature points. The movement of the mobile device is captured with a motion detector and a number of poses for the first rolling shutter camera are computed based on the initial pose and the sensed movement wherein each computed pose corresponds to a particular computed time. A computed pose is selected for each feature point by matching the particular capture time for the feature point to the particular computed time for the computed pose and the position of the mobile device is determined within the environment.
The more poses that are calculated for each readout of a rolling shutter camera generally improves the accuracy of the mobile device's estimated pose within the environment and therefore improves the perceived augmented reality (AR) experience for the user when content is rendered. Each calculation of a pose, however, consumes processing resources. In some situations (e.g., when the eyewear device is moving relatively slowly), acceptable AR results may be achieved with fewer poses than if the eyewear device were moving faster. By adjusting the number of poses calculated responsive to movement of the eyewear device, processing resources can be conserved when they are not necessary to produce acceptable results.
The following detailed description includes systems, methods, techniques, instruction sequences, and computing machine program products illustrative of examples set forth in the disclosure. Numerous details and examples are included for the purpose of providing a thorough understanding of the disclosed subject matter and its relevant teachings. Those skilled in the relevant art, however, may understand how to apply the relevant teachings without such details. Aspects of the disclosed subject matter are not limited to the specific devices, systems, and method described because the relevant teachings can be applied or practice in a variety of ways. The terminology and nomenclature used herein is for the purpose of describing particular aspects only and is not intended to be limiting. In general, well-known instruction instances, protocols, structures, and techniques are not necessarily shown in detail.
The term “coupled” or “connected” as used herein refers to any logical, optical, physical, or electrical connection, including a link or the like by which the electrical or magnetic signals produced or supplied by one system element are imparted to another coupled or connected system element. Unless described otherwise, coupled or connected elements or devices are not necessarily directly connected to one another and may be separated by intermediate components, elements, or communication media, one or more of which may modify, manipulate, or carry the electrical signals. The term “on” means directly supported by an element or indirectly supported by the element through another element integrated into or supported by the element.
The orientations of the device and associated components and any other complete devices incorporating a camera, an inertial measurement unit, or both such as shown in any of the drawings, are given by way of example only, for illustration and discussion purposes. In operation, the eyewear device may be oriented in any other direction suitable to the particular application of the eyewear device; for example, up, down, sideways, or any other orientation. Also, to the extent used herein, any directional term, such as front, rear, inward, outward, toward, left, right, lateral, longitudinal, up, down, upper, lower, top, bottom, side, horizontal, vertical, and diagonal are used by way of example only, and are not limiting as to the direction or orientation of any camera or inertial measurement unit as constructed as otherwise described herein.
Additional objects, advantages and novel features of the examples will be set forth in part in the following description, and in part will become apparent to those skilled in the art upon examination of the following and the accompanying drawings or may be learned by production or operation of the examples. The objects and advantages of the present subject matter may be realized and attained by means of the methodologies, instrumentalities and combinations particularly pointed out in the appended claims.
Reference now is made in detail to the examples illustrated in the accompanying drawings and discussed below.
The surface of the touchpad 181 is configured to detect finger touches, taps, and gestures (e.g., moving touches) for use with a GUI displayed by the eyewear device, on an image display, to allow the user to navigate through and select menu options in an intuitive manner, which enhances and simplifies the user experience.
Detection of finger inputs on the touchpad 181 can enable several functions. For example, touching anywhere on the touchpad 181 may cause the GUI to display or highlight an item on the image display, which may be projected onto at least one of the optical assemblies 180A, 180B. Double tapping on the touchpad 181 may select an item or icon. Sliding or swiping a finger in a particular direction (e.g., from front to back, back to front, up to down, or down to) may cause the items or icons to slide or scroll in a particular direction; for example, to move to a next item, icon, video, image, page, or slide. Sliding the finger in another direction may slide or scroll in the opposite direction; for example, to move to a previous item, icon, video, image, page, or slide. The touchpad 181 can be virtually anywhere on the eyewear device 100.
In one example, an identified finger gesture of a single tap on the touchpad 181, initiates selection or pressing of a graphical user interface element in the image presented on the image display of the optical assembly 180A, 180B. An adjustment to the image presented on the image display of the optical assembly 180A, 180B based on the identified finger gesture can be a primary action which selects or submits the graphical user interface element on the image display of the optical assembly 180A, 180B for further display or execution.
As shown, the eyewear device 100 includes a right visible-light camera 114B. As further described herein, two cameras 114A, 114B capture image information for a scene from two separate viewpoints. The two captured images may be used to project a three-dimensional display onto an image display for viewing with 3D glasses.
The eyewear device 100 includes a right optical assembly 180B with an image display to present images, such as depth images. As shown in
Left and right visible-light cameras 114A, 114B are sensitive to the visible-light range wavelength. Each of the visible-light cameras 114A, 114B have a different frontward facing field of view which are overlapping to enable generation of three-dimensional depth images, for example, right visible-light camera 114B depicts a right field of view 111B. Generally, a “field of view” is the part of the scene that is visible through the camera at a particular position and orientation in space. The fields of view 111A and 111B have an overlapping field of view 304 (
In an example, visible-light cameras 114A, 114B have a field of view with an angle of view between 40° to 110°, for example approximately 100°, and have a resolution of 480×480 pixels or greater. The “angle of coverage” describes the angle range that a lens of visible-light cameras 114A, 114B or infrared camera 410 (see
Examples of such visible-light cameras 114A, 114B include a high-resolution complementary metal-oxide-semiconductor (CMOS) image sensor and a digital VGA camera (video graphics array) capable of resolutions of 640 p (e.g., 640×480 pixels for a total of 0.3 megapixels), 720 p, or 1080 p. Other examples of visible-light cameras 114A, 114B that can capture high-definition (HD) still images and store them at a resolution of 1642 by 1642 pixels (or greater); or record high-definition video at a high frame rate (e.g., thirty to sixty frames per second or more) and store the recording at a resolution of 1216 by 1216 pixels (or greater).
The eyewear device 100 may capture image sensor data from the visible-light cameras 114A, 114B along with geolocation data, digitized by an image processor, for storage in a memory. The visible-light cameras 114A, 114B capture respective left and right raw images in the two-dimensional space domain that comprise a matrix of pixels on a two-dimensional coordinate system that includes an X-axis for horizontal position and a Y-axis for vertical position. Each pixel includes a color attribute value (e.g., a red pixel light value, a green pixel light value, or a blue pixel light value); and a position attribute (e.g., an X-axis coordinate and a Y-axis coordinate).
In order to capture stereo images for later display as a three-dimensional projection, the image processor 412 (shown in
Construction and placement of the left visible-light camera 114A is substantially similar to the right visible-light camera 114B, except the connections and coupling are on the left lateral side 170A. As shown in the example of
The right corner 110B includes corner body 190 and a corner cap, with the corner cap omitted in the cross-section of
The right visible-light camera 114B is coupled to or disposed on the flexible PCB 140B and covered by a visible-light camera cover lens, which is aimed through opening(s) formed in the frame 105. For example, the right rim 107B of the frame 105, shown in
As shown in
In the eyeglasses example, eyewear device 100 includes a frame 105 including a left rim 107A connected to a right rim 107B via a bridge 106 adapted to be supported by a nose of the user. The left and right rims 107A, 107B include respective apertures 175A, 175B, which hold a respective optical element 180A, 180B, such as a lens and a display device. As used herein, the term “lens” is meant to include transparent or translucent pieces of glass or plastic having curved or flat surfaces that cause light to converge/diverge or that cause little or no convergence or divergence.
Although shown as having two optical elements 180A, 180B, the eyewear device 100 can include other arrangements, such as a single optical clement (or it may not include any optical clement 180A, 180B), depending on the application or the intended user of the eyewear device 100. As further shown, eyewear device 100 includes a left corner 110A adjacent the left lateral side 170A of the frame 105 and a right corner 110B adjacent the right lateral side 170B of the frame 105. The corners 110A, 110B may be integrated into the frame 105 on the respective sides 170A, 170B (as illustrated) or implemented as separate components attached to the frame 105 on the respective sides 170A, 170B. Alternatively, the corners 110A, 110B may be integrated into temples (not shown) attached to the frame 105.
In one example, the image display of optical assembly 180A, 180B includes an integrated image display. As shown in
In one example, the optical layers 176A-N may include an LCD layer that is transparent (keeping the lens open) unless and until a voltage is applied which makes the layer opaque (closing or blocking the lens). The image processor 412 on the eyewear device 100 may execute programming to apply the voltage to the LCD layer in order to produce an active shutter system, making the eyewear device 100 suitable for viewing visual content when displayed as a three-dimensional projection. Technologies other than LCD may be used for the active shutter mode, including other types of reactive layers that are responsive to a voltage or another type of input.
In another example, the image display device of optical assembly 180A, 180B includes a projection image display as shown in
As the photons projected by the laser projector 150 travel across the lens of each optical assembly 180A, 180B, the photons encounter the optical strips 155A-N. When a particular photon encounters a particular optical strip, the photon is either redirected toward the user's eye, or it passes to the next optical strip. A combination of modulation of laser projector 150, and modulation of optical strips, may control specific photons or beams of light. In an example, a processor controls optical strips 155A-N by initiating mechanical, acoustic, or electromagnetic signals. Although shown as having two optical assemblies 180A, 180B, the eyewear device 100 can include other arrangements, such as a single or three optical assemblies, or each optical assembly 180A, 180B may have arranged different arrangement depending on the application or intended user of the eyewear device 100.
As further shown in
In another example, the eyewear device 100 shown in
For the capture of stereo images, as illustrated in
The generated depth images are in the three-dimensional space domain and can comprise a matrix of vertices on a three-dimensional location coordinate system that includes an X axis for horizontal position (e.g., length), a Y axis for vertical position (e.g., height), and a Z axis for depth (e.g., distance). Each vertex may include a color attribute (e.g., a red pixel light value, a green pixel light value, or a blue pixel light value); a position attribute (e.g., an X location coordinate, a Y location coordinate, and a Z location coordinate); a texture attribute; a reflectance attribute; or a combination thereof. The texture attribute quantifies the perceived texture of the depth image, such as the spatial arrangement of color or intensities in a region of vertices of the depth image.
In one example, the interactive augmented reality system 400 (
As shown in
The eyewear device 100 further includes two image displays of each optical assembly 180A, 180B (one associated with the left side 170A and one associated with the right side 170B). The eyewear device 100 also includes an image display driver 442, an image processor 412, low-power circuitry 420, and high-speed circuitry 430. The image displays of each optical assembly 180A, 180B are for presenting images, including still images, video images, or still and video images. The image display driver 442 is coupled to the image displays of each optical assembly 180A, 180B in order to control the display of images.
The eyewear device 100 additionally includes one or more speakers 440 (e.g., one associated with the left side of the eyewear device and another associated with the right side of the eyewear device). The speakers 440 may be incorporated into the frame 105, temples 125, or corners 110 of the eyewear device 100. The one or more speakers 440 are driven by audio processor 443 under control of low-power circuitry 420, high-speed circuitry 430, or both. The speakers 440 are for presenting audio signals including, for example, a beat track. The audio processor 443 is coupled to the speakers 440 in order to control the presentation of sound.
The components shown in
As shown in
In some examples, the high-speed processor 432 executes an operating system such as a LINUX operating system or other such operating system of the eyewear device 100 and the operating system is stored in memory 434 for execution. In addition to any other responsibilities, the high-speed processor 432 executes a software architecture for the eyewear device 100 that is used to manage data transfers with high-speed wireless circuitry 436. In some examples, high-speed wireless circuitry 436 is configured to implement Institute of Electrical and Electronic Engineers (IEEE) 802.11 communication standards, also referred to herein as Wi-Fi. In other examples, other high-speed communications standards may be implemented by high-speed wireless circuitry 436.
The low-power circuitry 420 includes a low-power processor 422 and low-power wireless circuitry 424. The low-power wireless circuitry 424 and the high-speed wireless circuitry 436 of the eyewear device 100 can include short-range transceivers (Bluetooth™ or Bluetooth Low-Energy (BLE)) and wireless wide, local, or wide-area network transceivers (e.g., cellular or Wi-Fi). Mobile device 401, including the transceivers communicating via the low-power wireless connection 425 and the high-speed wireless connection 437, may be implemented using details of the architecture of the eyewear device 100, as can other elements of the network 495.
Memory 434 includes any storage device capable of storing various data and applications, including, among other things, camera data generated by the left and right visible-light cameras 114A, 114B, the infrared camera(s) 410, the image processor 412, and images generated for display by the image display driver 442 on the image display of each optical assembly 180A, 180B. Although the memory 434 is shown as integrated with high-speed circuitry 430, the memory 434 in other examples may be an independent, standalone element of the eyewear device 100. In certain such examples, electrical routing lines may provide a connection through a chip that includes the high-speed processor 432 from the image processor 412 or low-power processor 422 to the memory 434. In other examples, the high-speed processor 432 may manage addressing of memory 434 such that the low-power processor 422 will boot the high-speed processor 432 any time that a read or write operation involving memory 434 is needed.
As shown in
The server system 498 may be one or more computing devices as part of a service or network computing system, for example, that include a processor, a memory, and network communication interface to communicate over the network 495 with an eyewear device 100 and a mobile device 401.
The output components of the eyewear device 100 include visual elements, such as the left and right image displays associated with each lens or optical assembly 180A, 180B as described in
The input components of the eyewear device 100 may include alphanumeric input components (e.g., a touch screen or touchpad configured to receive alphanumeric input, a photo-optical keyboard, or other alphanumeric-configured elements), pointer-based input components (e.g., a mouse, a touchpad, a trackball, a joystick, a motion sensor, or other pointing instruments), tactile input components (e.g., a button switch, a touch screen or touchpad that senses the location, force or location and force of touches or touch gestures, or other tactile-configured elements), and audio input components (e.g., a microphone), and the like. The mobile device 401 and the server system 498 may include alphanumeric, pointer-based, tactile, audio, and other input components.
In some examples, the eyewear device 100 includes a collection of motion-sensing components referred to as an inertial measurement unit 472. The motion-sensing components may be micro-electro-mechanical systems (MEMS) with microscopic moving parts, often small enough to be part of a microchip. The inertial measurement unit (IMU) 472 in some example configurations includes an accelerometer, a gyroscope, and a magnetometer. The accelerometer senses the linear acceleration of the device 100 (including the acceleration due to gravity) relative to three orthogonal axes (x, y, z). The gyroscope senses the angular velocity of the device 100 about three axes of rotation (pitch, roll, yaw). Together, the accelerometer and gyroscope can provide position, orientation, and motion data about the device relative to six axes (x, y, z, pitch, roll, yaw). The magnetometer, if present, senses the heading of the device 100 relative to magnetic north. The position of the device 100 may be determined by location sensors, such as a GPS unit 473, one or more transceivers to generate relative position coordinates, altitude sensors or barometers, and other orientation sensors. Such positioning system coordinates can also be received over the wireless connections 425, 437 from the mobile device 401 via the low-power wireless circuitry 424 or the high-speed wireless circuitry 436.
The IMU 472 may include or cooperate with a digital motion processor or programming that gathers the raw data from the components and computes a number of useful values about the position, orientation, and motion of the device 100. For example, the acceleration data gathered from the accelerometer can be integrated to obtain the velocity relative to each axis (x, y, z); and integrated again to obtain the position of the device 100 (in linear coordinates, x, y, and z). The angular velocity data from the gyroscope can be integrated to obtain the position of the device 100 (in spherical coordinates). The programming for computing these useful values may be stored in memory 434 and executed by the high-speed processor 432 of the eyewear device 100.
The eyewear device 100 may optionally include additional peripheral sensors, such as biometric sensors, specialty sensors, or display elements integrated with eyewear device 100. For example, peripheral device elements may include any I/O components including output components, motion components, position components, or any other such elements described herein. For example, the biometric sensors may include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye tracking), to measure bio signals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), or to identify a person (e.g., identification based on voice, retina, facial characteristics, fingerprints, or electrical bio signals such as electroencephalogram data), and the like.
The mobile device 401 may be a smartphone, tablet, laptop computer, access point, or any other such device capable of connecting with eyewear device 100 using both a low-power wireless connection 425 and a high-speed wireless connection 437. Mobile device 401 is connected to server system 498 and network 495. The network 495 may include any combination of wired and wireless connections.
The interactive augmented reality system 400, as shown in
The memory 434 includes song files 482 and virtual objects 484. The song files 482 includes a tempo (e.g., beat track) and, optionally, a sequence of notes and note values. A note is a symbol denoting a particular pitch or other musical sound. The note value includes the duration the note is played, relative to the tempo, and may include other qualities such as loudness, emphasis, articulation, and phrasing relative to other notes. The tempo, in some implementations, includes a default value along with a user interface through which the user may select a particular tempo for use during playback of the song. The virtual objects 484 include image data for identifying objects or features in images captured by the cameras 114. The objects may be physical features such as known paintings or physical markers for use in localizing the eyewear device 100 within an environment.
The memory 434 additionally includes, for execution by the processor 432, a position detection utility 460, a marker registration utility 462, a localization utility 464, a virtual object rendering utility 466, a physics engine 468, and a prediction engine 470. The position detection utility 460 configures the processor 432 to determine the position (location and orientation) within an environment, e.g., using the localization utility 464. The marker registration utility 462 configures the processor 432 to register markers within the environment. The markers may be predefined physical markers having a known location within an environment or assigned by the processor 432 to a particular location with respect to the environment within which the eyewear device 100 is operating or with respect to the eyewear itself. The localization utility 464 configures the processor 432 to obtain localization data for use in determining the position of the eyewear device 100, virtual objects presented by the eyewear device, or a combination thereof. The location data may be derived from a series of images, an IMU unit 472, a GPS unit 473, or a combination thereof. The virtual object rendering utility 466 configures the processor 432 to render virtual images for display by the image display 180 under control of the image display driver 442 and the image processor 412. The physics engine 468 configures the processor 432 to apply laws of physics such as gravity and friction to the virtual word, e.g., between virtual game pieces. The prediction engine 470 configures the processor 432 to predict anticipated movement of an object such as the eyewear device 100 based on its current heading, input from sensors such as the IMU 472, images of the environment, or a combination thereof.
The mobile device 401 may include a camera 570 that comprises at least two visible-light cameras (first and second visible-light cameras with overlapping fields of view) or at least one visible-light camera and a depth sensor with substantially overlapping fields of view. Flash memory 540A may further include multiple images or video, which are generated via the camera 570.
As shown, the mobile device 401 includes an image display 580, a mobile display driver 582 to control the image display 580, and a display controller 584. In the example of
Examples of touchscreen-type mobile devices that may be used include (but are not limited to) a smart phone, a personal digital assistant (PDA), a tablet computer, a laptop computer, or other portable device. However, the structure and operation of the touchscreen-type devices is provided by way of example; the subject technology as described herein is not intended to be limited thereto. For purposes of this discussion,
As shown in
To generate location coordinates for positioning of the mobile device 401, the mobile device 401 can include a global positioning system (GPS) receiver. Alternatively, or additionally the mobile device 401 can utilize either or both the short range XCVRs 520 and WWAN XCVRs 510 for generating location coordinates for positioning. For example, cellular network, Wi-Fi, or Bluetooth™ based positioning systems can generate very accurate location coordinates, particularly when used in combination. Such location coordinates can be transmitted to the eyewear device over one or more network connections via XCVRs 510, 520.
The transceivers 510, 520 (i.e., the network communication interface) conforms to one or more of the various digital wireless communication standards utilized by modern mobile networks. Examples of WWAN transceivers 510 include (but are not limited to) transceivers configured to operate in accordance with Code Division Multiple Access (CDMA) and 3rd Generation Partnership Project (3GPP) network technologies including, for example and without limitation, 3GPP type 2 (or 3GPP2) and LTE, at times referred to as “4G.” For example, the transceivers 510, 520 provide two-way wireless communication of information including digitized audio signals, still image and video signals, web page information for display as well as web-related inputs, and various types of mobile message communications to/from the mobile device 401.
The mobile device 401 further includes a microprocessor that functions as a central processing unit (CPU); shown as CPU 540 in
The CPU 540 serves as a programmable host controller for the mobile device 401 by configuring the mobile device 401 to perform various operations, for example, in accordance with instructions or programming executable by CPU 540. For example, such operations may include various general operations of the mobile device, as well as operations related to the programming for applications on the mobile device. Although a processor may be configured by use of hardwired logic, typical processors in mobile devices are general processing circuits configured by execution of programming.
The mobile device 401 includes a memory or storage system, for storing programming and data. In the example, the memory system may include a flash memory 540A, a random-access memory (RAM) 540B, and other memory components 540C, as needed. The RAM 540B serves as short-term storage for instructions and data being handled by the CPU 540, e.g., as a working data processing memory. The flash memory 540A typically provides longer-term storage.
Hence, in the example of mobile device 401, the flash memory 540A is used to store programming or instructions for execution by the CPU 540. Depending on the type of device, the mobile device 401 stores and runs a mobile operating system through which specific applications are executed. Examples of mobile operating systems include Google Android, Apple iOS (for iPhone or iPad devices), Windows Mobile, Amazon Fire OS, RIM BlackBerry OS, or the like.
The processor 432 within the eyewear device 100 constructs a map of the environment surrounding the eyewear device 100, determines a location of the eyewear device within the mapped environment, and determines a relative position of the eyewear device to one or more objects in the mapped environment. In one example, the processor 432 constructs the map and determines location and position information using a simultaneous localization and mapping (SLAM) algorithm applied to data received from one or more sensors. In the context of augmented reality, a SLAM algorithm is used to construct and update a map of an environment, while simultaneously tracking and updating the location of a device (or a user) within the mapped environment. The mathematical solution can be approximated using various statistical methods, such as particle filters, Kalman filters, extended Kalman filters, and covariance intersection.
Sensor data includes images received from one or both of the cameras 114A, 114B, distance(s) received from a laser range finder, position information received from a GPS unit 473, or a combination of two or more of such sensor data, or from other sensors providing data useful in determining positional information.
At block 702, the eyewear device 100 captures one or more input images of a physical environment 600 near the eyewear device 100. The processor 432 may continuously receive input images from the visible light camera(s) 114 and store those images in memory 434 for processing. Additionally, the eyewear device 100 may capture information from other sensors (e.g., location information from a GPS unit 473, orientation information from an IMU 472, or distance information from a depth sensor).
At block 704, the eyewear device 100 compares objects in the captured images to objects stored in a library of images to identify a match. In some implementations, the processor 432 stores the captured images in memory 434. A library of images of known objects is stored in a virtual object database 484.
In one example, the processor 432 is programmed to identify a predefined particular object (e.g., a particular picture 604a hanging in a known location on a wall, a window 604b in another wall, or an object such as a safe 604c positioned on the floor). Other sensor data, such as GPS data, may be used to narrow down the number of known objects for use in the comparison (e.g., only images associated with a room identified through GPS coordinates). In another example, the processor 432 is programmed to identify predefined general objects (such as one or more trees within a park).
At block 706, the eyewear device 100 determines its position with respect to the object(s). The processor 432 may determine its position with respect to the objects by comparing and processing distances between two or more points in the captured images (e.g., between two or more location points on one objects 604 or between a location point 606 on each of two objects 604) to known distances between corresponding points in the identified objects. Distances between the points of the captured images greater than the points of the identified objects indicates the eyewear device 100 is closer to the identified object than the imager that captured the image including the identified object. On the other hand, distances between the points of the captured images less than the points of the identified objects indicates the eyewear device 100 is further from the identified object than the imager that captured the image including the identified object. By processing the relative distances, the processor 432 is able to determine the position with respect to the objects(s). Alternatively, or additionally, other sensor information, such as laser distance sensor information, may be used to determine position with respect to the object(s).
At block 708, the eyewear device 100 constructs a map of an environment 600 surrounding the eyewear device 100 and determines its location within the environment. In one example, where the identified object (block 704) has a predefined coordinate system (x, y, z), the processor 432 of the eyewear device 100 constructs the map using that predefined coordinate system and determines its position within that coordinate system based on the determined positions (block 706) with respect to the identified objects. In another example, the eyewear device constructs a map using images of permanent or semi-permanent objects 604 within an environment (e.g., a tree or a park bench within a park). In accordance with this example, the eyewear device 100 may define the coordinate system used for the environment.
At block 710, the eyewear device 100 determines a head pose (roll, pitch, and yaw) of the eyewear device 100 within the environment. The processor 432 determines head pose by using two or more location points (e.g., three location points 606a, 606b, and 606c) on one or more objects 604 or by using one or more location points 606 on two or more objects 604. Using conventional image processing algorithms, the processor 432 determines roll, pitch, and yaw by comparing the angle and length of a line extending between the location points for the captured images and the known images.
At block 712, the eyewear device 100 presents visual images to the user. The processor 432 presents images to the user on the image displays 180 using the image processor 412 and the image display driver 442. The processor develops and presents the visual images via the image displays responsive to the location of the eyewear device 100 within the environment 600.
At block 714, the steps described above with reference to blocks 706-712 are repeated to update the position of the eyewear device 100 and what is viewed by the user 602 as the user moves through the environment 600.
Referring again to
Markers can be encoded with or otherwise linked to information. A marker might include position information, a physical code (such as a bar code or a QR code; either visible to the user or hidden), or a combination thereof. A set of data associated with the marker is stored in the memory 434 of the eyewear device 100. The set of data includes information about the marker 610a, the marker's position (location and orientation), one or more virtual objects, or a combination thereof. The marker position may include three-dimensional coordinates for one or more marker landmarks 616a, such as the corner of the generally rectangular marker 610a shown in
In one example, the marker 610a may be registered in memory as being located near and associated with a physical object 604a (e.g., the framed work of art shown in
At block 804, the eyewear device 100 captures, during a capture period, an image of an environment using the first rolling shutter camera. The image includes feature points and each feature point is captured at a particular time during a capture period. The processor 432 continuously receives input images from at least one visible light camera 114 and stores those images in memory 434 for processing. In some examples, the eyewear device 100 may compare objects in the captured images to objects stored in a library of images to identify a match, e.g., for use in determining the position of the eyewear device through visual-inertial tracking (described below). A library of images of known objects is stored in a virtual object database 484 for comparison.
At block 806, the eyewear device 100 senses movement of the mobile device during the capture period by obtaining motion information from the physical environment 600 near the device 100 from various sensors, for example, location or position information from a GPS unit 473, motion or orientation information from an IMU 472 or distance information from a laser distance sensor or a combination thereof. In an example, processor 432 retrieves sensed parameters from at least one of the sensors. The processor 432 then determines motion and position information from the sensed parameters using techniques described herein.
At block 808, the eyewear device 100 computes a number of poses for the first rolling shutter camera. The number of poses to computed by the rolling shutter camera is responsive to the sensed motion of the eyewear device such that relatively fewer poses are computed when the eyewear device is moving slowly (e.g., determined based on input from a motion sensor) and relatively more poses are computed when the eyewear device is moving faster. In one example, the number of poses is selected based on predefined thresholds. In accordance with this example, when the eyewear device is moving at a rate at or below a first predefined threshold (e.g., at or below 1 foot per second), the eyewear device computes a relatively low number of poses (e.g., 3 or less) per rolling shutter cycle; when the eyewear device is moving at a rate between the first predefined threshold (e.g., above 1 foot per second) and a second predefined threshold (e.g., below 3 feet per second), the eyewear device computes a medium number of poses (e.g., 4-6) per rolling shutter cycle; and when the eyewear device is moving at a rate at or above the second predefined threshold (e.g., at or above 3 feet per second), the eyewear device computes a relatively high number of poses (e.g., 7 or more) per rolling shutter cycle. By adjusting the number of poses calculated responsive to movement of the eyewear device, processing resources can be conserved when they are not necessary to produce acceptable results.
To calculate each of the number of poses, the processor 432, determines an initial pose of the eyewear device 100 within the environment and obtains movement information provided by sensor input (sec block 806) to compute a computed pose. Each computed pose corresponds to a particular time within a capture period. In one example, the processor 432 determines the pose for a line using a simultaneous localization and mapping (SLAM) algorithm applied to data received from one or more sensors for a first pose during exposure of a first line of at least one of the rolling shutter cameras. In some examples each of the computed poses is stored by processor 432 in memory, e.g., memory 434. In one example, the processor 432 stores each of the computed poses in a look-up table in memory 434.
In some examples, for each feature point in the image, the one of the number of computed poses is retrieved from the lookup table with the corresponding particular time that is closest to the corresponding particular computed time. In other examples, for each feature point in the image, the one of the number of computed poses is retrieved from the lookup table with the corresponding particular time that is immediately prior to the corresponding particular computed time.
In one example, where the number of poses comprises first and second calculated poses, the processor 432 stores, in a first position of a look-up table, the first calculated pose for a first line of the rolling shutter camera and, if the second calculated pose is calculated for a subsequent line of the first rolling shutter camera, the first calculated pose for the second line of the first rolling shutter camera. In one example, the number of computed poses is less than the number of feature points.
At block 810, the eyewear device selects, for each feature point in the image, one of the number of computed poses by matching the particular capture time for the feature point to the particular computed time for the computed pose. At block 812, the eyewear device determines a position of the mobile device within the environment using the feature points and the selected computed poses for the feature points. In one example, the position of the mobile device is determined by using the retrieved lookup table position poses. The first lookup table position pose for a first feature point corresponding to the first line and the second lookup table position pose for a second feature point corresponding to the second line are retrieved from memory 434. In one example, determining the position comprises applying a simultaneous localization and mapping (SLAM) algorithm using the feature points and the selected computed poses for the feature points.
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At step 842, the eyewear device 100 obtains an initial pose for the second rolling shutter camera. In some examples the pose is stored by processor 432 in memory, e.g., memory 434. In one example, the processor 432 stores the pose in a look-up table in memory 434. The processor 432 may set up the look-up table in memory and maintain the look-up table during a visual-inertial tracking process by eyewear device 100. The look-up table may include an entry corresponding to each line of a rolling shutter camera (or, for example, an entry for each line having a different pose than a preceding line due to camera motion), with the first pose stored in the first line of the look-up table.
At step 844, the eyewear device 100 captures, during a capture period, a second image of an environment using the camera system. The second image includes feature points with each feature point being captured at a particular capture time during the capture period. The processor 432 may continuously receive input images from the second visible light camera 114 and store those images in memory 434 for processing. In some examples, the eyewear device 100 may compare objects in the captured images to objects stored in a library of images to identify a match, e.g., for use in determining the position of the eyewear device through visual-inertial tracking (described below). A library of images of known objects is stored in a virtual object database 484 for comparison.
At block 846, the eyewear device 100 senses movement of the mobile device at a plurality of times during the capture period by obtaining motion information from the physical environment 600 near the device 100 from various sensors, for example, location information from a GPS unit 473, orientation information from an IMU 472 or distance information from a laser distance sensor. In an example, processor 432 retrieves sensed parameters from at least one of GPS 473, IMU 472, a laser distance sensor, cameras 114, or a combination thereof. The processor then determines motion and position information from the sensed parameters using techniques described herein.
At block 848, the eyewear device 100 computes a number of poses for the second rolling shutter camera based on the initial pose and the sensed movement, each computed pose corresponding to a particular computed time within the capture period. The number of computed poses for the second rolling shutter camera is responsive to the sensed movement of the mobile device. The number of poses to compute can be determined as described above with reference to block 808. To calculate each of the number of poses, the processor 432, for example, determines a head pose (roll, pitch, and yaw) of the eyewear device 100 within the environment by using motion and position information obtained from sensors (see block 806). In one example, the processor 432 of the eyewear device 100 determines its position with respect to one or more objects 604 within the environment 600 using captured images, constructs a map of the environment 600 using a coordinate system (x, y, z) for the environment 600, and determines its position within the coordinate system. For example, the processor 432 may determine a head pose (roll, pitch, and yaw) of the eyewear device 100 within the environment by using two or more location points (e.g., three location points 606a, 606b, and 606c) associated with a single object 604a, or by using one or more location points 606 associated with two or more objects 604a, 604b, 604c. In another example, the processor 432 determines the head pose using other sensors (e.g., IMU 472 or GPS 473) in addition to or instead of captured images. In one example, the processor 432 determines the pose for a line using a simultaneous localization and mapping (SLAM) algorithm applied to data received from one or more sensors for a first pose during exposure of a first line of the second rolling shutter camera.
At block 850, the eyewear device 100 selects, for each feature point in the second image, one of the number of second camera computed poses by matching the particular capture time for the feature point to the particular computed time for the computed pose.
At block 852, the eyewear device 100 determines a position of the mobile device within the environment using the feature points and the selected second camera computed poses for the feature points of the second image.
Any of the functionality described herein can be embodied in one more computer software applications or sets of programming instructions, as described herein. According to some examples, “function,” “functions,” “application,” “applications,” “instruction,” “instructions,” or “programming” are program(s) that execute functions defined in the programs. Various programming languages can be employed to implement one or more of the applications, structured in a variety of manners, such as object-oriented programming languages (e.g., Objective-C, Java, or C++) or procedural programming languages (e.g., C or assembly language). In a specific example, a third-party application (e.g., an application developed using the ANDROID™ or IOS™ software development kit (SDK) by an entity other than the vendor of the particular platform) may include mobile software running on a mobile operating system such as IOS™, ANDROID™, WINDOWS® Phone, or another mobile operating systems. In this example, the third-party application can invoke API calls provided by the operating system to facilitate functionality described herein.
Hence, a machine-readable medium may take many forms of tangible storage medium. Non-volatile storage media include, for example, optical or magnetic disks, such as any of the storage devices in any computer devices or the like, such as may be used to implement the client device, media gateway, transcoder, etc. shown in the drawings. Volatile storage media include dynamic memory, such as main memory of such a computer platform. Tangible transmission media include coaxial cables; copper wire and fiber optics, including the wires that comprise a bus within a computer system. Carrier-wave transmission media may take the form of electric or electromagnetic signals, or acoustic or light waves such as those generated during radio frequency (RF) and infrared (IR) data communications. Common forms of computer-readable media therefore include for example: a floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, DVD or DVD-ROM, any other optical medium, punch cards paper tape, any other physical storage medium with patterns of holes, a RAM, a PROM and EPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wave transporting data or instructions, cables or links transporting such a carrier wave, or any other medium from which a computer may read programming code or data. Many of these forms of computer readable media may be involved in carrying one or more sequences of one or more instructions to a processor for execution.
Except as stated immediately above, nothing that has been stated or illustrated is intended or should be interpreted to cause a dedication of any component, step, feature, object, benefit, advantage, or equivalent to the public, regardless of whether it is or is not recited in the claims.
It will be understood that the terms and expressions used herein have the ordinary meaning as is accorded to such terms and expressions with respect to their corresponding respective areas of inquiry and study except where specific meanings have otherwise been set forth herein. Relational terms such as first and second and the like may be used solely to distinguish one entity or action from another without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms “comprises,” “comprising,” “includes,” “including,” or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises or includes a list of elements or steps does not include only those elements or steps but may include other elements or steps not expressly listed or inherent to such process, method, article, or apparatus. An element preceded by “a” or “an” does not, without further constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.
Unless otherwise stated, any and all measurements, values, ratings, positions, magnitudes, sizes, and other specifications that are set forth in this specification, including in the claims that follow, are approximate, not exact. Such amounts are intended to have a reasonable range that is consistent with the functions to which they relate and with what is customary in the art to which they pertain. For example, unless expressly stated otherwise, a parameter value or the like may vary by as much as +10% from the stated amount.
In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various examples for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed examples require more features than are expressly recited in each claim. Rather, as the following claims reflect, the subject matter to be protected lies in less than all features of any single disclosed example. Thus, the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.
While the foregoing has described what are considered to be the best mode and other examples, it is understood that various modifications may be made therein and that the subject matter disclosed herein may be implemented in various forms and examples, and that they may be applied in numerous applications, only some of which have been described herein. It is intended by the following claims to claim any and all modifications and variations that fall within the true scope of the present concepts.
This application is a Continuation of U.S. patent application Ser. No. 18/098,939 filed on Jan. 19, 2023, which is a Continuation of U.S. application Ser. No. 17/161,937 filed on Jan. 29, 2021, now U.S. Pat. No. 11,582,409, and claims priority to U.S. Provisional Application Ser. No. 63/045,568 filed on Jun. 29, 2020, the contents of both of which are incorporated fully herein by reference.
| Number | Date | Country | |
|---|---|---|---|
| 63045568 | Jun 2020 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 18098939 | Jan 2023 | US |
| Child | 18677296 | US | |
| Parent | 17161937 | Jan 2021 | US |
| Child | 18098939 | US |
