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:
Feb. 18, 2025

Filed:

Mar. 15, 2022
Applicant:

Sri International, Menlo Park, CA (US);

Inventors:

Jihua Huang, Sunnyvale, CA (US);

Amir Tamrakar, Princeton, NJ (US);

Assignee:

SRI International, Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/776 (2022.01); G06T 7/64 (2017.01); G06T 7/73 (2017.01); G06V 10/75 (2022.01); G06V 10/774 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06V 10/776 (2022.01); G06T 7/64 (2017.01); G06T 7/73 (2017.01); G06V 10/751 (2022.01); G06V 10/7747 (2022.01); G06V 40/161 (2022.01); G06V 40/172 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01);
Abstract

This disclosure describes techniques for improving accuracy of machine learning systems in facial recognition. The techniques include generating, from a training image comprising a plurality of pixels and labeled with a plurality of facial landmarks, one or more facial contour heatmaps, wherein each of the one or more facial contour heatmaps depicts an estimate of a location of one or more facial contours within the training image. Techniques further include training a machine learning model to process the one or more facial contour heatmaps to predict the location of the one or more facial contours within the training image, wherein training the machine learning model comprises applying a loss function to minimize a distance between the predicted location of the one or more facial contours within the training image and corresponding contour data generated from facial landmarks of the plurality of facial landmarks with which the training image is labeled.


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