The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 22, 2019

Filed:

Apr. 11, 2016
Applicant:

Facebook, Inc., Menlo Park, CA (US);

Inventors:

Brian Keith Cabral, San Jose, CA (US);

Albert Parra Pozo, San Mateo, CA (US);

Forrest Samuel Briggs, Palo Alto, CA (US);

Joyce Hsu, Oakland, CA (US);

Assignee:

Facebook, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 13/243 (2018.01); H04N 13/246 (2018.01); H04N 13/332 (2018.01); H04N 5/247 (2006.01); G06T 7/80 (2017.01);
U.S. Cl.
CPC ...
H04N 13/246 (2018.05); G06T 7/85 (2017.01); H04N 5/247 (2013.01); H04N 13/243 (2018.05); H04N 13/332 (2018.05);
Abstract

A camera calibration system jointly calibrates multiple cameras in a camera rig system. The camera calibration system obtains configuration information about the multiple cameras in the camera rig system, such as position and orientation for each camera relative to other cameras. The camera calibration system estimates calibration parameters (e.g., rotation and translation) for the multiple cameras based on the obtained configuration information. The camera calibration system receives 2D images of a test object captured by the multiple cameras and obtains known information about the test object such as location, size, texture and detailed information of visually distinguishable points of the test object. The camera calibration system then generates a 3D model of the test object based on the received 2D images and the estimated calibration parameters. The generated 3D model is evaluated in comparison with the actual test object to determine a calibration error. The calibration parameters for the cameras are updated to reduce the calibration error for the multiple cameras.


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