Automated alignment adjustment for multiple imager based video systems

1. A computer-implemented method for a multiple imager imaging system, comprising:

during operation of said multiple imager imaging system, detecting misalignment between a left portion of an object in a left image and a right portion of said object in a right image; wherein said misalignment is detected using factory alignment parameters to align said left and right portions; and

selectively performing a recalibration operation to determine optimal alignment parameters for the multiple imager imaging system, said optimal alignment parameters to align said left and right portions during an image stitching operation;

dynamically overriding the factory alignment parameters with the optimal alignment parameters; and

performing the stitching operation based on the optimal alignment parameter.

2. The method of claim 1 , wherein the recalibration operation is performed without human input.

3. The method of claim 1 , wherein performing the recalibration operation comprises checking alignment of the right and left portions based on different sets of alignment parameters stored in a memory of the multiple imager imaging system.

4. The method of claim 3 , wherein each set of alignment parameters is for a different alignment distance within a predefined range of alignment distances.

5. The method of claim 3 , wherein performing the recalibration operation comprises checking alignment of the right and left portions based on different sets of alignment parameters based on a known distance dependent alignment relationship for the multiple imager imaging system stored in memory.

6. The method of claim 1 , further comprising executing a face detection algorithm to detect if the object is a face.

7. The method of claim 6 , wherein the recalibration operation is not performed if it is detected that the face is not static.

8. A multiple imager imaging system, comprising:

a mechanism to detect misalignment between a left portion of an object in a left image and a right portion of said object in a right image; wherein said misalignment is detected using factory alignment parameters to align said left and right portions; and

a mechanism to selectively perform a recalibration operation to determine optimal alignment parameters to align said left and right portions during an image stitching operation;

a mechanism to dynamically override the factory alignment parameters with the optimal alignment parameters; and

a mechanism to perform the stitching operation based on the optimal alignment parameters.

9. The system of claim 8 , wherein the recalibration operation is performed without human input.

10. The system of claim 8 , wherein performing the recalibration operation comprises checking alignment of the right and left portions based on different sets of alignment parameters stored in a memory of the multiple imager imaging system.

11. The system of claim 10 , wherein each set of alignment parameters is for a different alignment distance within a predefined range of alignment distances.

12. The system of claim 10 , wherein performing the recalibration operation comprises checking alignment of the right and left portions based on different sets of alignment parameters based on a known distance dependent alignment relationship for the multiple imager imaging system stored in memory.

13. The system of claim 8 , further comprising a mechanism to execute a face detection algorithm to detect if the object is a face.

14. The system of claim 13 , wherein the recalibration operation is not performed if it is detected that the face is not static.

15. A non-transitory computer-readable medium having stored thereon a sequence of instructions which when executed by a system causes the system to perform a method for a multiple imager imaging system, comprising:

detecting misalignment between a left portion of an object in a left image and a right portion of said object in a right image; wherein said misalignment is detected using factory alignment parameters to align said left and right portions; and

selectively performing a recalibration operation to determine optimal alignment parameters to align said left and right portions during an image stitching operation;

dynamically overriding the factory alignment parameters with the optimal alignment parameters; and

performing the stitching operation based on the optimal alignment parameters.

16. The computer-readable medium of claim 15 , wherein the recalibration operation is performed without human input.

17. The computer-readable medium of claim 15 , wherein performing the recalibration operation comprises checking alignment of the right and left portions based on different sets of alignment parameters stored in a memory of the multiple imager imaging system.

18. The computer-readable medium of claim 17 , wherein each set of alignment parameters is for a different alignment distance within a predefined range of alignment distances.

19. The computer-readable medium of claim 17 , wherein performing the recalibration operation comprises checking alignment of the right and left portions based on different sets of alignment parameters based on a known distance dependent alignment relationship for the multiple imager imaging system stored in memory.

20. The computer-readable medium of claim 15 , wherein the method further comprises executing a face detection algorithm to detect if the object is a face.