Calibrating vision systems

• US 9,483,690 B2
• Filed: 09/27/2014
• Issued: 11/01/2016
• Est. Priority Date: 11/12/2010
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Zavesky, Eric
• Primary Examiner(s): Johns, Andrew W
• Application Number:
  US14/499,096
• Publication Number:
  US 20150015485A1
• Time in Patent Office: 766 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/005 Input arrangements through a video camera
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06T 7/80 Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
• CPC Class Codes: G06V 40/113 Recognition of static hand signs
• CPC Class Codes: G06V 40/28 Recognition of hand or arm movements, e.g. recognition of deaf sign language static hand signs G06V40/113

Abstract

Methods, systems, and computer program calibrate a vision system. An image of a human gesture is received that frames a display device. A boundary defined by the human gesture is computed, and gesture area defined by the boundary is also computed. The gesture area is then mapped to pixels in the display device.

Claims

1. A method, comprising:

storing, in a memory device, an image of a human gesture;

determining, by a processor coupled to the memory device, a gesture interaction area framed by the human gesture;

mapping, by the processor, the gesture interaction area to pixels in a display device; and

interpreting, by the processor, other images of other human gestures performed within the gesture interaction area.

2. The method of claim 1, further comprising interpreting the image of the human gesture.

3. The method of claim 1, further comprising receiving the image of the human gesture.

4. The method of claim 1, further comprising determining a border associated with the gesture interaction area.

5. The method of claim 1, further comprising rectangularizing the gesture interaction area.

6. The method of claim 1, further comprising regionalizing the gesture interaction area.

7. The method of claim 1, further comprising mapping a region associated with the gesture interaction area to a corresponding region associated with the pixels in the display device.

8. A system, comprising:

a processor; and

a memory device, the memory device storing code, the code when executed causing the processor to perform operations, the operations comprising;

storing an image of a human gesture;

determining a gesture interaction area framed by the human gesture;

mapping the gesture interaction area to pixels in a display device; and

interpreting other images of other human gestures performed within the gesture interaction area.

9. The system of claim 8, wherein the operations further comprise interpreting the image of the human gesture.

10. The system of claim 8, wherein the operations further comprise receiving the image of the human gesture.

11. The system of claim 8, wherein the operations further comprise determining a border associated with the gesture interaction area.

12. The system of claim 8, wherein the operations further comprise rectangularizing the gesture interaction area.

13. The system of claim 8, wherein the operations further comprise regionalizing the gesture interaction area.

14. The system of claim 8, wherein the operations further comprise mapping a region associated with the gesture interaction area to a corresponding region associated with the pixels in the display device.

15. A memory device storing code which when executed causes a processor to perform operations, the operations comprising:

storing an image of a human gesture;

determining a gesture interaction area framed by the human gesture;

mapping the gesture interaction area to pixels in a display device; and

interpreting other images of other human gestures performed within the gesture interaction area.

16. The memory device of claim 15, wherein the operations further comprise interpreting the image of the human gesture.

17. The memory device of claim 15, wherein the operations further comprise determining a border associated with the gesture interaction area.

18. The memory device of claim 15, wherein the operations further comprise rectangularizing the gesture interaction area.

19. The memory device of claim 15, wherein the operations further comprise regionalizing the gesture interaction area.

20. The memory device of claim 15, wherein the operations further comprise mapping a region associated with the gesture interaction area to a corresponding region associated with the pixels in the display device.