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:
Nov. 14, 2023

Filed:

Dec. 20, 2019
Applicant:

Sony Group Corporation, Tokyo, JP;

Inventors:

Kenji Tashiro, San Jose, CA (US);

Chuen-Chien Lee, Pleasanton, CA (US);

Qing Zhang, San Jose, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/20 (2006.01); G06V 40/16 (2022.01); G06T 15/04 (2011.01); H04N 23/611 (2023.01); H04N 23/951 (2023.01);
U.S. Cl.
CPC ...
G06T 17/20 (2013.01); G06T 15/04 (2013.01); G06V 40/165 (2022.01); G06V 40/171 (2022.01); H04N 23/611 (2023.01); H04N 23/951 (2023.01);
Abstract

The photo-video based spatial-temporal volumetric capture system more efficiently, produces high frame rate and high resolution 4D dynamic human videos, without a need for 2 separate 3D and 4D scanner systems, by combining a set of high frame rate machine vision video cameras with a set of high resolution photography cameras. It reduces a need for manual CG works, by temporally up-sampling shape and texture resolution of 4D scanned video data from a temporally sparse set of higher resolution 3D scanned keyframes that are reconstructed both by using machine vision cameras and photography cameras. Unlike typical performance capture system that uses single static template model at initialization (e.g. A or pose), the photo-video based spatial-temporal volumetric capture system stores multiple keyframes of high resolution 3D template models for robust and dynamic shape and texture refinement of 4D scanned video sequence. For shape up-sampling, the system can apply mesh-tracking based temporal shape super resolution. For texture up-sampling, the system can apply machine learning based temporal texture super resolution.


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