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:
Jul. 02, 2024

Filed:

Jan. 25, 2019
Applicants:

Google Llc, Mountain View, CA (US);

Robert Mcdonald, Boca Raton, FL (US);

Shrenik Lad, Sunnyvale, CA (US);

Andrew Gallagher, Fremont, CA (US);

Inventors:

Robert McDonald, Boca Raton, FL (US);

Shrenik Lad, Sunnyvale, CA (US);

Andrew Gallagher, Fremont, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/16 (2022.01); G06T 7/246 (2017.01); G06T 7/73 (2017.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 10/98 (2022.01); G06V 40/10 (2022.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06V 40/165 (2022.01); G06T 7/246 (2017.01); G06T 7/74 (2017.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/806 (2022.01); G06V 10/809 (2022.01); G06V 10/82 (2022.01); G06V 10/98 (2022.01); G06V 40/103 (2022.01); G06V 40/161 (2022.01); G06N 20/00 (2019.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01); G06V 40/172 (2022.01);
Abstract

Example aspects of the present disclosure are directed to computing systems and methods that perform whole person association with face screening and/or face hallucination. In particular, one aspect of the closure is directed to a multi-headed person and face detection model that performs both face and person detection in one model. Each of the face and person detection can find landmarks or other pose information and also a confidence score. The pose information for the face and person detections can be used to select certain face and person detections to associate together as a whole person detection, which can be referred to as an 'appearance.'


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