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:
Mar. 03, 2020

Filed:

Nov. 04, 2016
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Sridhar Uyyala, Hillsboro, OR (US);

Ignacio J. Alvarez, Portland, OR (US);

Bradley A. Jackson, Hillsboro, OR (US);

Deepak S. Vembar, Portland, OR (US);

Assignee:

INTEL Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/215 (2017.01); G06T 17/10 (2006.01); G06K 9/00 (2006.01); G06T 1/20 (2006.01); G06T 13/40 (2011.01); G06T 17/20 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06T 7/215 (2017.01); G06K 9/00201 (2013.01); G06K 9/00268 (2013.01); G06K 9/6262 (2013.01); G06T 1/20 (2013.01); G06T 13/40 (2013.01); G06T 17/10 (2013.01); G06T 17/20 (2013.01); G06K 2209/40 (2013.01);
Abstract

Techniques for high-fidelity three-dimensional (3D) reconstruction of a dynamic scene as a set of voxels are provided. One technique includes: receiving, by a processor, image data from each of two or more spatially-separated sensors observing the scene from a corresponding two or more vantage points; generating, by the processor, the set of voxels from the image data on a frame-by-frame basis; reconstructing, by the processor, surfaces from the set of voxels to generate low-fidelity mesh data; identifying, by the processor, performers in the scene from the image data; obtaining, by the processor, high-fidelity mesh data corresponding to the identified performers; and merging, by the processor, the low-fidelity mesh data with the high-fidelity mesh data to generate high-fidelity 3D output. The identifying of the performers includes: segmenting, by the processor, the image data into objects; and classifying, by the processor, those of the objects representing the performers.


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