IP Library Granted Patent US 11,076,095
Granted Patent B1
US 11,076,095 · App. 13/902,776 · Granted Jul 27, 2021

Depth sensor assisted multiple imager video system

Inventor: Jason Daniel Tanner (Folsom, CA)
Assignee: Altia Systems Inc.
H04N5/23238G01B11/22
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Quick Facts
Patent No.
US 11,076,095
App. No.
13/902,776
Granted
Jul 27, 2021
Kind
B1
Abstract

A computer-implemented method for a multiple imager imaging system is disclosed. The method comprises capturing regular images; capturing depth sensor images; and performing a depth-based alignment operation to adjust factory alignment parameters based on depth sensor information.

Claims (34)

1. A computer-implemented method, comprising:

capturing regular images of a scene by a multi-imager camera including an array of imagers mounted along an arc;

capturing depth sensor images of the scene by a plurality of depth sensor imagers;

performing a depth-based alignment operation on the regular images to override a factory alignment parameter based on depth sensor information which is determined from the depth sensor imagers,

wherein the factory alignment parameter corresponds to a predefined distance dependent alignment relationship between a seam and a region of overlap of images captured at a plurality of predefined distances between the plurality of imagers and the scene being captured; and

performing a non-linear seam calculation to calculate a minimal cost path for the seams at a current seam location calculated based on the depth sensor information wherein the factory alignment parameter includes the region of overlap, the predefined alignment distance and the seam location corresponding to the region of overlap.

2. The method of claim 1 , further comprising temporally aligning the regular images with the depth sensor images.

3. The method of claim 2 , further comprising performing a dynamic seam adjustment operation to adjust a location of each seam based on depth changes detected across the seams based on the depth sensor information.

4. The method of claim 1 , wherein the minimal cost path is based on minimizing spatial, temporal, and composite distortions.

5. The method of claim 4 , further comprising adjusting the current seam based on the minimal cost path so that portions of said current seam are made non-linear.

6. The method of claim 1 , wherein the depth-based alignment operation is performed without human-input.

7. A multiple imager system comprising an imaging processing circuitry, configured to:

capture regular images of a scene by an array of imagers mounted along an arc on a camera;

capture depth sensor images of the scene by a plurality of depth sensor imagers;

perform a depth-based alignment operation on the regular images to override a factory alignment parameter based on depth sensor information which is determined from the depth sensor imagers,

wherein the factory alignment parameter corresponds to a predefined distance dependent alignment relationship between a seam and a region of overlap of images captured at a plurality of predefined distances between the camera and the scene being captured; and

perform a non-linear seam calculation to calculate a minimal cost path for the seam at a current seam location calculated based on the depth sensor information wherein the factory alignment parameter includes the region of overlap, the predefined alignment distance and the seam location corresponding to the region of overlap.

8. The system of claim 7 , is further configured to temporally align the regular images with the depth sensor images.

9. The system of claim 8 , is further configured to perform a dynamic seam adjustment operation to adjust a location of each seam based on depth changes detected across the seams based on the depth sensor information.

10. The system of claim 7 , wherein the minimal cost path is based on minimizing spatial, temporal, and composite distortions.

11. The system of claim 10 , is further configured to adjust the current seam based on the minimal cost path so that portions of said current seam are made non-linear.

12. The system of claim 7 , wherein the depth-based alignment operation is performed without human-input.

13. The system of claim 7 , includes two depth sensor imagers, wherein each of the depth sensors covers a 100 degree field of view.

14. The system of claim 7 , wherein the depth-based alignment operation on the regular images corresponds to re-calculation of alignment parameters including a region of overlap, an alignment distance and a seam location relative to the region of overlap of the camera.

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 system, comprising:

capturing regular images of a scene by an array of imagers mounted along an arc on a camera;

capturing depth sensor images of the scene by a plurality of depth sensor imagers;

performing a depth-based alignment operation on the regular images to override a factory alignment parameter based on depth sensor information which is determined from the depth sensor imagers,

wherein the factory alignment parameter corresponds to a predefined distance dependent alignment relationship between a seam and a region of overlap of images captured at a plurality of predefined distances between the plurality of imagers and the scene being captured; and

performing a non-linear seam calculation to calculate a minimal cost path for the seams at a current seam location calculated based on the depth sensor information wherein the factory alignment parameter includes the region of overlap, the predefined alignment distance and the seam location corresponding to the region of overlap.

16. The computer-readable medium of claim 15 , wherein the method further comprises temporally aligning the regular images with the depth sensor images.

17. The computer-readable medium of claim 16 , wherein the method further comprises performing a dynamic seam adjustment operation to adjust a location of each seam based on depth changes detected across the seams based on the depth sensor information.

18. The computer-readable medium of claim 17 , wherein the minimal cost path is based on minimizing spatial, temporal, and composite distortions.

19. The computer-readable medium of claim 18 , wherein the method further comprises adjusting based on the minimal cost path the current seam so that portions of said current seam are made non-linear.

Assignments (3)
MERGER Recorded Mar 30, 2026
From: GN AUDIO A/S
To: GN HEARING A/S
Reel/Frame 075299/0225 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 12, 2022
From: ALTIA SYSTEMS, INC.
To: GN AUDIO A/S
Reel/Frame 058995/0604 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 3, 2014
From: TANNER, JASON DANIEL
To: ALTIA SYSTEMS INC
Reel/Frame 032152/0745 →