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:
Sep. 05, 2023

Filed:

Sep. 27, 2019
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Debashish Barua, Santa Clara, CA (US);

Fai Yeung, Palo Alto, CA (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); H04N 13/117 (2018.01); G06F 18/211 (2023.01); H04N 23/698 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/20 (2022.01); G06V 40/18 (2022.01); H04N 23/90 (2023.01);
U.S. Cl.
CPC ...
G06T 7/001 (2013.01); G06F 18/211 (2023.01); G06T 7/0002 (2013.01); G06T 7/97 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/20 (2022.01); G06V 40/18 (2022.01); H04N 13/117 (2018.05); H04N 23/698 (2023.01); G06T 2207/10016 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30228 (2013.01); H04N 23/90 (2023.01);
Abstract

Apparatus and method for determining a quality score for virtual video cameras. For example, one embodiment comprises: a region of interest (ROI) detector to detect regions of interest within a first image generated from a first physical camera (PCAM) positioned at first coordinates; virtual camera circuitry and/or logic to generate a second image positioned at the first coordinates; image comparison circuitry and/or logic to establish pixel-to-pixel correspondence between the first image and the second image; an image quality evaluator to determine a quality value for the second image by evaluating the second image in view of the first image.


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