SPECIFYING VALUES BY OCCLUDING A PATTERN ON A TARGET

• US 20130022274A1
• Filed: 01/04/2012
• Published: 01/24/2013
• Est. Priority Date: 07/22/2011
• Status: Abandoned Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Lawrence Ashok Inigo, Roy, Gervautz, Michael
• Application Number:
  US13/343,263
• Publication Number:
  US 20130022274A1
• Time in Patent Office: Days
• US Class Current: 382/195
• CPC Class Codes: G06F 3/04847 Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G06T 2207/10004 Still image; Photographic image
• CPC Class Codes: G06T 2207/30204 Marker
• CPC Class Codes: G06T 2207/30244 Camera pose
• CPC Class Codes: G06T 7/194 involving foreground-background segmentation
• CPC Class Codes: G06T 7/74 involving reference images or patches

Abstract

A mobile platform captures a scene that includes a real world object, wherein the real world object has a non-uniform pattern in a predetermined region. The mobile platform determines an area in an image of the real world object in the scene corresponding to the predetermined region. The mobile platform compares intensity differences between pairs of pixels in the area, with known intensity differences between pairs of pixels in the non-uniform pattern, to identify any portion of the area that differs from a corresponding portion of the predetermined region. The mobile platform then stores in its memory, a value indicative of a location of the any portion relative to the area. The stored value may be used in any application running in the mobile platform.

Claims

1. A method comprising:

receiving an image of a scene;

wherein the scene includes a real world object having a non-uniform pattern in a predetermined region;

determining an area in the image that corresponds to the predetermined region;

comparing intensity differences between first pairs of pixels in the area with known intensity differences between second pairs of pixels in the non-uniform pattern;

computing a location of an occlusion in the area of the non-uniform pattern, based on a result of the comparing; and

storing the location in memory.

2. The method of claim 1 wherein:

the area is longitudinal and has two ends;

the location is between the two ends; and

the method further comprises computing a value based on a distance of the location relative to an end of the area, and storing the value in memory.

3. The method of claim 1 further comprising:

controlling an operation of the real world object or another real world object, based on the location.

4. The method of claim 1 wherein the real world object is hereinafter first real world object and wherein:

first intensity differences in a first portion of the area are different from second intensity differences in a second portion in the non-uniform pattern that corresponds to the first portion due to the occlusion of the first real world object by a second real world object.

5. The method of claim 4 wherein multiple portions of the area are identified by the comparing and the method further comprising:

eliminating at least one of the multiple portions by comparing intensities of a first plurality of pixels including the first pairs of pixels in the area with additional known intensities of a second plurality of pixels in the second real world object.

6. The method of claim 4 wherein:

the second real world object is a human finger; and

the method further comprises comparing intensities of a plurality of pixels with intensities of human skin color.

7. The method of claim 1 wherein:

the comparing comprises using binary robust independent elementary features descriptors.

8. The method of claim 1 further comprising:

identifying a position of the real world object in the scene relative to a camera used in the capturing; and

using the position in the determining.

9. A mobile platform comprising:

a camera;

a processor operatively connected to the camera;

memory operatively connected to the processor; and

software held in the memory that when run in the processor causes the camera to capture a scene that includes a real world object having a non-uniform pattern in a predetermined region, causes the processor to determine an area in an image of the real world object in the scene captured by the camera and corresponding to the predetermined region, causes the processor to compare intensity differences between first pairs of pixels in the area with known intensity differences between second pairs of pixels in the non-uniform pattern, causes the processor to compute a location of an occlusion in the area of the non-uniform pattern based on a result of comparison and store the location in the memory.

10. The mobile platform of claim 9 wherein the software that when run in the processor causes the processor to generate a signal to control an operation of the real world object based on the location.

11. The mobile platform of claim 9 wherein the software that when run in the processor causes the processor to generate a signal to control an operation of another real world object based on the location.

12. The mobile platform of claim 9 wherein the real world object is hereinafter first real world object and wherein the any portion differs from a corresponding portion due to the occlusion of the first real world object by a second object.

13. The mobile platform of claim 9 wherein multiple portions of the area are identified by intensity difference comparison by the processor and wherein the software that when run in the processor causes the processor to eliminate at least one of the multiple portions by comparing intensities of a first plurality of pixels including the first pairs of pixels in the area with additional known intensities of a second plurality of pixels in a second real world object.

14. The mobile platform of claim 13 wherein the second real world object is a human finger and wherein the software that when run in the processor causes the processor to compare intensities of the first plurality of pixels with intensities of human skin color.

15. The mobile platform of claim 9 wherein the software that when run in the processor causes the processor to use binary robust independent elementary features descriptors.

16. The mobile platform of claim 9 wherein the software that when run in the processor causes the processor to identify a position of the real world object in the scene relative to the camera and use the position to determine the area.

17. The mobile platform of claim 9 further comprising a screen and instructions that when executed in the processor causes the processor to render information on the screen based at least partially on the location.

18. An apparatus comprising:

means for receiving an image of a scene;

wherein the scene includes a real world object having a non-uniform pattern in a predetermined region;

means for determining an area in the image that corresponds to the predetermined region;

means for comparing intensity differences between first pairs of pixels in the area with known intensity differences between second pairs of pixels in the non-uniform pattern;

means for computing a location of an occlusion in the area of the non-uniform pattern, based on a result of the comparing; and

means for storing the location in memory.

19. The apparatus of claim 18 wherein multiple portions of the area are identified by the means for comparing intensity differences and the apparatus further comprising:

means for eliminating at least one of the multiple portions by comparing intensities of a first plurality of pixels including the first pairs of pixels in the area with additional known intensities of a second plurality of pixels in another real world object.

20. A non-transitory computer-readable storage medium comprising:

first instructions to one or more processors to receive an image of a scene;

wherein the scene includes a real world object having a non-uniform pattern in a predetermined region;

second instructions to the one or more processors to determine an area in the image that corresponds to the predetermined region;

third instructions to the one or more processors to compare intensity differences between first pairs of pixels in the area with known intensity differences between second pairs of pixels in the non-uniform pattern;

fourth instructions to the one or more processors to compute a location of an occlusion in the area of the non-uniform pattern, based on a result of the comparing; and

fifth instructions to the one or more processors storing the location in a memory.

21. The non-transitory computer-readable storage medium of claim 20 wherein multiple portions of the area are identified by execution of the third instructions to the one or more processors to compare and the non-transitory computer-readable storage medium further comprising:

sixth instructions to the one or more processors to eliminate at least one of the multiple portions by comparing intensities of a first plurality of pixels including the first pairs of pixels in the area with additional known intensities of a second plurality of pixels in another real world object.