Calibrating volumetric rig with structured light

1. A method for calibrating cameras in a rig, the method comprising:

projecting light patterns onto surfaces of objects in a capture volume;

capturing image data of the light patterns projected onto the surfaces of the objects using the cameras; and

processing the captured image data to estimate a calibration data of the cameras; and

measuring distortions in the light patterns using the estimated calibration data of the cameras as camera angles relative to changes on the surfaces of the objects,

wherein the measured distortions in the light patterns of the captured image data identifies source information about which camera of the cameras is providing the image data.

2. The method of claim 1 , wherein projecting the light patterns comprises:

projecting the light patterns during primary capture segments to capture video image data; and

projecting the light patterns during secondary capture segments to estimate the calibration data of the cameras.

3. The method of claim 1 , wherein the calibration data includes changes in camera position based on the distortions in the captured image data of the light pattern.

4. The method of claim 1 , wherein the light patterns comprise checkerboard patterns.

5. The method of claim 1 , further comprising

identifying source cameras using the captured image data.

6. The method of claim 1 , wherein the light patterns projected onto the surfaces of the objects are non-visible light patterns.

7. An image capture system, comprising:

a plurality of light sources configured to project light patterns onto surfaces of objects in a capture volume;

a plurality of sensors configured to capture image data of the light patterns projected onto the surfaces of the objects by the plurality of light sources; and

a processor configured to process the image data captured by the plurality of sensors to estimate a calibration data for the plurality of sensors, and to measure distortions in the light patterns using the estimated calibration data of the sensors as angles of the plurality of sensors relative to changes on the surfaces of the objects,

wherein the measured distortions in the light patterns of the image data identifies source information about which sensor of the plurality of image sensors is providing the image data.

8. The system of claim 7 , wherein the calibration data includes changes in sensor position based on the distortions in the captured image data of the light pattern.

9. The system of claim 7 , wherein the light patterns comprise checkerboard patterns.

10. The system of claim 7 , wherein the light patterns projected onto the surfaces of the objects are non-visible light patterns.

11. The system of claim 7 , wherein the source information and the image data are used to determine parameters of the plurality of sensors.

12. The system of claim 11 , wherein the parameters comprise positions, orientations, and image settings of the plurality of sensors.

13. The system of claim 11 , wherein the calibration data for the plurality of sensors is estimated from the parameters.

14. The system of claim 11 , wherein the parameters comprise

at least one of sensor types, sensor configurations, and lens information.

15. The system of claim 7 , wherein the plurality of sensors comprises a plurality of cameras.

16. The system of claim 7 , wherein the plurality of sensors comprises a plurality of audio sensors.

17. The system of claim 7 , wherein the plurality of sensors comprises a plurality of thermal sensors.