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:
Oct. 06, 2020

Filed:

Dec. 31, 2018
Applicant:

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

Inventors:

Peter Vajda, Palo Alto, CA (US);

Peizhao Zhang, Fremont, CA (US);

Matthieu Tony Uyttendaele, Seattle, WA (US);

Yanghan Wang, Sunnyvale, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/77 (2017.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
G06T 7/77 (2017.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06N 5/022 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/30196 (2013.01);
Abstract

In one embodiment, a system accesses a probability model associated with an image depicting a body. The probability model includes probability values associated with regions of the image and each probability value represents a probability of the associated region of the image containing a particular body part. The system selects a subset (e.g., 3) of the probability values based on a comparison of the probability values. For each selected probability value, the system identifies surrounding probability values surrounding the selected probability value and computes a probabilistic maximum based on the selected probability value and the surrounding probability values. Each probabilistic maximum is associated with a location within the regions associated with the selected probability value and the surrounding probability values. One of the locations associated with the probabilistic maxima is then selected, which represents a determined location in the image that corresponds to the particular body part in the image.


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