Method and apparatus for creating an adaptive Bayer pattern

1. A method for enabling gesture recognition of a gesture command, comprising:

receiving a plurality of images of an object to be used for performing a gesture command from an army of imaging elements included within a camera;

aligning the plurality of images;

creating an ordered set at infinity comprising Red, Clear, Blue (R, C, B) pixel elements from the plurality of images;

defining as an infinity image a low-resolution G image generated by subtracting the R, C, B pixel data of the plurality of images;

performing a demosiacing process on the ordered set at infinity:

computing offsets between the images from one or more determined artifacts generated from imaging the object performing the gesture command;

modifying the ordered set to adapt to the computed offsets;

regenerating the demosaiced image and computing an associated depth thereof;

and interpreting the gesture command performed by the object.

2. The method of claim 1 , wherein the gesture recognition is updated by matching row-wise and column wise disparity values.

3. The method of claim 1 , further comprising:

realigning the reference ordered set such that objects that are not at infinity are subtended by a modified Bayer pattern for better image quality;

creating a second pattern based upon the modified Bayer pattern; and

generating a second demosaiced image in accordance with the second pattern.

4. The method of claim 3 , further comprising generating a depth map in accordance with the second pattern.

5. The method of claim 1 , wherein a hand of a user is captured in the image as the object performing the gesture command.

6. The method of claim 5 , wherein the hand of the user is used to control a mobile device.

7. The method of claim 6 , wherein the camera is included within the mobile device.

8. The method of claim 7 , wherein the hand of the user is positioned within a field of view of the camera.

9. The method of claim 7 , wherein the array of imaging elements comprise a backward facing camera and the hand of the user is positioned within a field of view of the backward facing camera.

10. The method of claim 9 , wherein a pinch gesture by the hand of the user positioned within the field of view of the backward facing camera adjusts zoom on the display of one or more images captured by a front facing camera of the mobile device without requiring contact with the display of the camera.

11. The method of claim 9 , wherein a thumbs up gesture by the hand of the user positioned within the field of view of the backward facing camera results in the taking of a picture captured by a front facing camera of the mobile device.

12. The method of claim 9 , wherein movement of the hand of the user positioned within the field of view of the backward facing camera towards and away from the display of the camera adjusts zoom of the front facing camera of the mobile device.

13. The method of claim 6 , wherein the one or more mobile devices comprise one or more electronic devices.

14. The method of claim 13 , wherein the one or more electronic devices are controlled by a gestural interface, each gesture being determined based upon one or more images acquired by the array of imaging elements comprising a camera of the electronic device for acquiring the gesture command.

15. The method of claim 13 , wherein the one or more electronic devices comprises a television.

16. The method of claim 13 , wherein the one or more devices comprises a game console.

17. The method of claim 1 , wherein the step of computing one or more offset artifacts is performed only on pixels in the reference image that have changed from a prior image.

18. The method of claim 1 , further comprising the steps of:

highlighting on a touchscreen, by the user, one or more regions corresponding to one or more objects in the demosaiced image for which a distance to the mobile device from the object is to be determined;

extracting the coordinates of the highlighted region from one or more of the demosaiced image and the received plurality of images;

segmenting the region in the one of the received plurality of images and the demosaiced image from which the coordinates were extracted,

determining a distance to the one or more objects corresponding to the highlighted region on the display;

determining one or more dimensions of the one or more objects corresponding to the highlighted region in accordance with the demosaicing process.

19. A system for enabling gesture recognition of a gesture command, comprising:

an array of imaging elements comprising a camera for acquiring a plurality of images; and

a processor for:

receiving a plurality of images of an object to be used for performing a gesture command from an array of imaging elements included within the camera;

aligning the plurality of images;

creating an ordered set at infinity comprising Red, Clear, Blue (R, C, B) pixel elements from the plurality of images;

defining as an infinity image a low resolution G image generated by subtracting the R, C, B pixel data of the plurality of images;

performing a demosiacing process on the ordered set at infinity;

amplifying a response of blue and red pixel level elements based upon the C pixel data;

computing offsets between the images from one or more determined artifacts generated from imaging the object performing a gesture command;

modifying the ordered set to adapt to the computed offsets;

regenerating the demosaiced image; and

interpreting the gesture command performed by the object.

20. A non-transitory storage medium having a computer program stored thereon, the computer program causing a general purpose computer to perform the steps of:

receiving a plurality of images of an object to be used for performing a gesture command from an array of imaging elements included within a camera;

aligning the plurality of images;

creating an ordered set at infinity comprising Red, Clear, Blue (R, C, B) pixel elements from the plurality of images;

defining as an infinity image a low resolution G image generated by subtracting the R, C, B pixel data of the plurality of images;

performing a demosiacing process on the ordered set at infinity;

amplifying a response of blue and red pixel level elements based upon the C pixel data;

computing offsets between the images from one or more determined artifacts generated from imaging the object performing a gesture command;

modifying the ordered set to adapt to the computed offsets;

regenerating the demosaiced image; and

interpreting the gesture command performed by the object.