SYSTEMS AND METHODS FOR PERFORMING VIRTUAL APPLICATION OF A RING WITH IMAGE WARPING

Abstract

A computing device obtains an image depicting a hand and determines attributes of a finger on the hand in the image. The computing device generates a displacement table comprising locations of pixels for the finger based on the attributes and applies the displacement table to generate a modified finger. The computing device performs virtual application of a ring on the modified finger.

Description

TECHNICAL FIELD

The present disclosure generally relates to systems and methods for performing virtual application of a ring with image warping.

SUMMARY

In accordance with one embodiment, a computing device obtains an image depicting a hand and determines attributes of a finger on the hand in the image. The computing device generates a displacement table comprising locations of pixels for the finger based on the attributes and applies the displacement table to generate a modified finger. The computing device performs virtual application of a ring on the modified finger.

Another embodiment is a system that comprises a memory storing instructions and a processor coupled to the memory. The processor is configured by the instructions to obtain an image depicting a hand and determine attributes of a finger on the hand in the image. The processor is further configured to generate a displacement table comprising locations of pixels for the finger based on the attributes and apply the displacement table to generate a modified finger. The processor is further configured to perform virtual application of a ring on the modified finger.

Another embodiment is a non-transitory computer-readable storage medium storing instructions to be implemented by a computing device. The computing device comprises a processor, wherein the instructions, when executed by the processor, cause the computing device to obtain an image depicting a hand and determine attributes of a finger on the hand in the image. The processor is further configured by the instructions to generate a displacement table comprising locations of pixels for the finger based on the attributes and apply the displacement table to generate a modified finger. The processor is further configured by the instructions to perform virtual application of a ring on the modified finger.

In accordance with an alternative embodiment, a computing device obtains an image depicting a hand and determines attributes of a finger on the hand in the image. The computing device applies a non-linear warping function to generate a modified finger in the image based on the attributes. The computing device performs virtual application of a ring on the modified finger.

Other systems, methods, features, and advantages of the present disclosure will be apparent to one skilled in the art upon examining the following drawings and detailed description. It is intended that all such additional systems, methods, features, and advantages be included within this description, be within the scope of the present disclosure, and be protected by the accompanying claims.

BRIEF DESCRIPTION OF THE DRAWINGS

Various aspects of the disclosure are better understood with reference to the following drawings. The components in the drawings are not necessarily to scale, with emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Moreover, in the drawings, like reference numerals designate corresponding parts throughout the several views.

FIG. 1 is a block diagram of a computing device configured to perform virtual application of a ring with image warping according to various embodiments of the present disclosure.

FIG. 2 is a schematic diagram of the computing device of FIG. 1 in accordance with various embodiments of the present disclosure.

FIG. 3 is a top-level flowchart illustrating examples of functionality implemented as portions of the computing device of FIG. 1 for performing virtual application of a ring with image warping according to various embodiments of the present disclosure.

FIG. 4 illustrates an example user interface provided on a display of the computing device according to various embodiments of the present disclosure.

FIG. 5 illustrates the computing device in FIG. 1 identifying a target region for performing image warping according to various embodiments of the present disclosure.

FIG. 6 illustrates the computing device in FIG. 1 generating a displacement table for performing image warping on the target region based on attributes of the finger according to various embodiments of the present disclosure.

FIG. 7 illustrates application of the displacement table to the target region to generate a modified finger according to various embodiments of the present disclosure.

FIG. 8 illustrates virtual application of a ring on the modified finger after application of the displacement table according to various embodiments of the present disclosure.

FIG. 9 is a top-level flowchart illustrating examples of functionality implemented as portions of the computing device of FIG. 1 for performing virtual application of a ring with image warping according to an alternative embodiment of the present disclosure.

DETAILED DESCRIPTION

The subject disclosure is now described with reference to the drawings, where like reference numerals are used to refer to like elements throughout the following description. Other aspects, advantages, and novel features of the disclosed subject matter will become apparent from the following detailed description and corresponding drawings.

There is a need for an improved way for allowing consumers to evaluate the appearance of rings when considering different rings of interest. The present disclosure is directed to systems and methods for achieving a more realistic appearance of rings on a user by performing virtual application of a rings using image warping based on attributes associated with the user's finger.

A description of a system for implementing virtual application of a ring with image warping is described followed by a discussion of the operation of the components within the system. FIG. 1 is a block diagram of a computing device 102 in which the embodiments disclosed herein may be implemented. The computing device 102 may comprise one or more processors that execute machine executable instructions to perform the features described herein. For example, the computing device 102 may be embodied as a computing device such as, but not limited to, a smartphone, a tablet-computing device, a laptop, and so on.

A ring applicator 104 executes on a processor of the computing device 102 and includes an import module 106, a finger region analyzer 108, a finger region modifier 110, and a virtual application module 112. The import module 106 is configured to obtain digital images of a user's hand for purposes of performing virtual application of one or more rings. For some embodiments, the import module 106 is configured to cause a camera (e.g., front-facing camera) of the computing device 102 to capture an image or a video of a user of the computing device 102. Alternatively, the import module 106 may obtain an image or video of the user from another device or server where the computing device 102 may be equipped with the capability to connect to the Internet.

The images obtained by the import module 106 may be encoded in any of a number of formats including, but not limited to, JPEG (Joint Photographic Experts Group) files, TIFF (Tagged Image File Format) files, PNG (Portable Network Graphics) files, GIF (Graphics Interchange Format) files, BMP (bitmap) files or any number of other digital formats. The video may be encoded in formats including, but not limited to, Motion Picture Experts Group (MPEG)-1, MPEG-2, MPEG-4, H.264, Third Generation Partnership Project (3GPP), 3GPP-2, Standard-Definition Video (SD-Video), High-Definition Video (HD-Video), Digital Versatile Disc (DVD) multimedia, Video Compact Disc (VCD) multimedia, High-Definition Digital Versatile Disc (HD-DVD) multimedia, Digital Television Video/High-definition Digital Television (DTV/HDTV) multimedia, Audio Video Interleave (AVI), Digital Video (DV), QuickTime (QT) file, Windows Media Video (WMV), Advanced System Format (ASF), Real Media (RM), Flash Media (FLV), an MPEG Audio Layer III (MP3), an MPEG Audio Layer II (MP2), Waveform Audio Format (WAV), Windows Media Audio (WMA), 360 degree video, 3D scan model, or any number of other digital formats.

The finger region analyzer 108 is configured to identify the finger on the hand depicted in the image and determine attributes of the finger. For some embodiments, the finger region analyzer 108 is configured to determine attributes of the finger by identifying a target region between two knuckles (e.g., the base knuckle and middle knuckle) on the finger. The finger region analyzer 108 then determines the coordinates of the target region, the boundary of the target region, and/or the orientation of the target region. The finger region analyzer 108 may determine the orientation of the target region by determining a roll angle of the target region, a yaw angle of the target region, and/or a pitch angle of the target region.

The finger region modifier 110 is configured to generate a displacement table comprising locations of pixels for the finger based on the attributes and apply the displacement table to generate a modified finger. For some embodiments, the finger region modifier 110 is configured to generate the displacement table comprising the locations of the pixels for the finger based on the attributes by generating a mapping function that comprises a non-linear warp function in an image domain based on the attributes.

For some embodiments, the finger region modifier 110 includes an artificial intelligence (“AI”) engine configured to determine where the ring will be specifically positioned on the finger. The AI engine is further configured to generate attributes of the finger. The attributes may comprise coordinates of the target region, a boundary of the target region, and an orientation of the target region. The AI engine then generates a displacement table based on the attributes.

The displacement table generated by the AI engine may be embodied as a warp mesh where the displacement table specifies displacement of pixels in the region where the ring is positioned on the finger. The finger region modifier 110 applies the displacement table to generate a modified finger. The modified finger depicts the finger being squeezed by the ring, thereby achieving realistic virtual application of the ring. The virtual application module 112 then performs virtual application of a ring on the modified finger, thereby providing a more realistic depiction of the ring being worn on the user's finger.

FIG. 2 illustrates a schematic block diagram of the computing device 102 in FIG. 1. The computing device 102 may be embodied as a desktop computer, portable computer, dedicated server computer, multiprocessor computing device, smart phone, tablet, and so forth. As shown in FIG. 2, the computing device 102 comprises memory 214, a processing device 202, a number of input/output interfaces 204, a network interface 206, a display 208, a peripheral interface 211, and mass storage 226, wherein each of these components are connected across a local data bus 210.

The processing device 202 may include a custom made processor, a central processing unit (CPU), or an auxiliary processor among several processors associated with the computing device 102, a semiconductor based microprocessor (in the form of a microchip), a macroprocessor, one or more application specific integrated circuits (ASICs), a plurality of suitably configured digital logic gates, and so forth.

The memory 214 may include one or a combination of volatile memory elements (e.g., random-access memory (RAM, such as DRAM, and SRAM, etc.)) and nonvolatile memory elements (e.g., ROM, hard drive, tape, CDROM, etc.). The memory 214 typically comprises a native operating system 216, one or more native applications, emulation systems, or emulated applications for any of a variety of operating systems and/or emulated hardware platforms, emulated operating systems, etc. For example, the applications may include application specific software that may comprise some or all the components of the computing device 102 displayed in FIG. 1.

In accordance with such embodiments, the components are stored in memory 214 and executed by the processing device 202, thereby causing the processing device 202 to perform the operations/functions disclosed herein. For some embodiments, the components in the computing device 102 may be implemented by hardware and/or software.

Input/output interfaces 204 provide interfaces for the input and output of data. For example, where the computing device 102 comprises a personal computer, these components may interface with one or more input/output interfaces 204, which may comprise a keyboard or a mouse, as shown in FIG. 2. The display 208 may comprise a computer monitor, a plasma screen for a PC, a liquid crystal display (LCD) on a hand held device, a touchscreen, or other display device.

In the context of this disclosure, a non-transitory computer-readable medium stores programs for use by or in connection with an instruction execution system, apparatus, or device. More specific examples of a computer-readable medium may include by way of example and without limitation: a portable computer diskette, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM, EEPROM, or Flash memory), and a portable compact disc read-only memory (CDROM) (optical).

Reference is made to FIG. 3, which is a flowchart 300 in accordance with various embodiments for performing virtual application of a ring with image warping, where the operations are performed by the computing device 102 of FIG. 1. It is understood that the flowchart 300 of FIG. 3 provides merely an example of the different types of functional arrangements that may be employed to implement the operation of the various components of the computing device 102. As an alternative, the flowchart 300 of FIG. 3 may be viewed as depicting an example of steps of a method implemented in the computing device 102 according to one or more embodiments.

Although the flowchart 300 of FIG. 3 shows a specific order of execution, it is understood that the order of execution may differ from that which is displayed. For example, the order of execution of two or more blocks may be scrambled relative to the order shown. In addition, two or more blocks shown in succession in FIG. 3 may be executed concurrently or with partial concurrence. It is understood that all such variations are within the scope of the present disclosure.

At block 310, the computing device 102 obtains an image depicting a hand. As discussed above, the user may utilize a camera of the computing device 102 to capture an image of the user's hand. At block 320, the computing device 102 determines attributes of a finger on the hand in the image. For some embodiments, the computing device 102 determines attributes of the finger by identifying a target region between two knuckles (e.g., the base knuckle and middle knuckle) on the finger and determining coordinates of the target region, a boundary of the target region, and/or an orientation of the target region. For some embodiments, the computing device 102 determines the orientation of the target region by determining a roll angle of the target region, a yaw angle of the target region, and/or a pitch angle of the target region.

At block 330, the computing device 102 generates a displacement table comprising locations of pixels for the finger based on the attributes. For some embodiments, the computing device 102 generates the displacement table comprising the locations of the pixels for the finger based on the attributes by generating a mapping function comprising a non-linear warp function in an image domain based on the attributes. At block 340, the computing device 102 applies the displacement table to generate a modified finger. At block 350, the computing device 102 performs virtual application of a ring on the modified finger. Thereafter, the process in FIG. 3 ends.

To illustrate further various aspects of the present invention, reference is made to the following figures described below. FIG. 4 illustrates an example user interface 402 provided on a display of the computing device 102 whereby an image of the user's hand 404 is captured and displayed to the user. As described above, the import module 106 (FIG. 1) executing in the computing device 102 can be configured to cause a camera of the computing device 102 to capture an image or a video of a user's hand 404 for purposes of performing virtual application of a ring with image warping.

FIG. 5 illustrates the computing device 102 in FIG. 1 identifying a target region 502 for performing image warping. For some embodiments, the computing device 102 determines attributes of the finger 504 on the hand by identifying a target region 502 between two knuckles 506, 508 on the finger. The computing device 102 then determines the coordinates of the target region 502, a boundary of the target region 502, and/or an orientation of the target region 502. FIG. 6 illustrates the computing device 102 in FIG. 1 generating a displacement table for performing image warping on the target region 602 based on attributes of the finger 604. The displacement table corresponds to the warping in the target region 602 shown in FIG. 6. FIG. 7 illustrates application of the displacement table to the target region 702 to generate a modified finger 704. FIG. 8 illustrates virtual application of a ring 802 on the modified finger 804 after application of the displacement table.

Reference is made to FIG. 9, which is a flowchart 900 in accordance with an alternative embodiment for performing virtual application of a ring with image warping, where the operations are performed by the computing device 102 of FIG. 1. It is understood that the flowchart 900 of FIG. 9 provides merely an example of the different types of functional arrangements that may be employed to implement the operation of the various components of the computing device 102. As an alternative, the flowchart 900 of FIG. 9 may be viewed as depicting an example of steps of a method implemented in the computing device 102 according to one or more embodiments.

Although the flowchart 900 of FIG. 9 shows a specific order of execution, it is understood that the order of execution may differ from that which is displayed. For example, the order of execution of two or more blocks may be scrambled relative to the order shown. In addition, two or more blocks shown in succession in FIG. 9 may be executed concurrently or with partial concurrence. It is understood that all such variations are within the scope of the present disclosure.

At block 910, the computing device 102 obtains an image depicting a hand. As discussed above, the user may utilize a camera of the computing device 102 to capture an image of the user's hand. At block 920, the computing device 102 determines attributes of a finger on the hand in the image. For some embodiments, the computing device 102 determines attributes of the finger by identifying a target region between two knuckles on the finger and determining coordinates of the target region, a boundary of the target region, and/or an orientation of the target region.

For some embodiments, the computing device 102 determines the orientation of the target region by determining a roll angle of the target region, a yaw angle of the target region, and/or a pitch angle of the target region. At block 930, the computing device 102 applies a non-linear warping function to generate a modified finger in the image based on the attributes. At block 940, the computing device 102 performs virtual application of a ring on the modified finger in the image. Thereafter, the process in FIG. 9 ends.

It should be emphasized that the above-described embodiments of the present disclosure are merely possible examples of implementations set forth for a clear understanding of the principles of the disclosure. Many variations and modifications may be made to the above-described embodiment(s) without departing substantially from the spirit and principles of the disclosure. All such modifications and variations are included herein within the scope of this disclosure and protected by the following claims.

Claims

1. A method implemented in a computing device, comprising: obtaining an image depicting a hand;determining attributes of a finger on the hand in the image;generating a displacement table comprising locations of pixels for the finger based on the attributes;applying the displacement table to generate a modified finger; andperforming virtual application of a ring on the modified finger.

2. The method of claim 1, wherein determining attributes of the finger comprises: identifying a target region between two knuckles on the finger; anddetermining at least one of: coordinates of the target region, a boundary of the target region, and an orientation of the target region.

3. The method of claim 2, wherein determining the orientation of the target region comprises determining at least one of: a roll angle of the target region, a yaw angle of the target region, and a pitch angle of the target region.

4. The method of claim 1, wherein generating the displacement table comprising the locations of the pixels for the finger based on the attributes comprises generating a mapping function comprising a non-linear warp function in an image domain based on the attributes.

5. A method implemented in a computing device, comprising: obtaining an image depicting a hand;determining attributes of a finger on the hand in the image;applying a non-linear warping function to generate a modified finger in the image based on the attributes; andperforming virtual application of a ring on the modified finger in the image.

6. The method of claim 5, wherein determining attributes of the finger comprises: identifying a target region between two knuckles on the finger; anddetermining at least one of: coordinates of the target region, a boundary of the target region, and an orientation of the target region.

7. The method of claim 6, wherein determining the orientation of the target region comprises determining at least one of: a roll angle of the target region, a yaw angle of the target region, and a pitch angle of the target region.

8. A system, comprising: a memory storing instructions;a processor coupled to the memory and configured by the instructions to at least: obtain an image depicting a hand;determine attributes of a finger on the hand in the image;generate a displacement table comprising locations of pixels for the finger based on the attributes;apply the displacement table to generate a modified finger; andperform virtual application of a ring on the modified finger.

9. The system of claim 8, wherein the processor is configured to determine attributes of the finger by: identifying a target region a target region between two knuckles on the finger; anddetermining at least one of: coordinates of the target region, a boundary of the target region, and an orientation of the target region.

10. The system of claim 9, wherein the processor is configured to determine the orientation of the target region by determining at least one of: a roll angle of the target region, a yaw angle of the target region, and a pitch angle of the target region.

11. The system of claim 8, wherein the processor is configured to generate the displacement table comprising the locations of the pixels for the finger based on the attributes by generating a mapping function comprising a non-linear warp function in an image domain based on the attributes.

12. A non-transitory computer-readable storage medium storing instructions to be implemented by a computing device having a processor, wherein the instructions, when executed by the processor, cause the computing device to at least: obtain an image depicting a hand;determine attributes of a finger on the hand in the image;generate a displacement table comprising locations of pixels for the finger based on the attributes;apply the displacement table to generate a modified finger; andperform virtual application of a ring on the modified finger.

13. The non-transitory computer-readable storage medium of claim 12, wherein the processor is configured by the instructions to determine attributes of the finger by: identifying a target region between two knuckles on the finger; anddetermining at least one of: coordinates of the target region, a boundary of the target region, and an orientation of the target region.

14. The non-transitory computer-readable storage medium of claim 13, wherein the processor is configured by the instructions to determine the orientation of the target region by determining at least one of: a roll angle of the target region, a yaw angle of the target region, and a pitch angle of the target region.

15. The non-transitory computer-readable storage medium of claim 12, wherein the processor is configured by the instructions to generate the displacement table comprising the locations of the pixels for the finger based on the attributes by generating a mapping function comprising a non-linear warp function in an image domain based on the attributes