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. 25, 2025

Filed:

May. 17, 2022
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Dan Li, Shenzhen, CN;

Zhiqiang Dong, Shenzhen, CN;

Bin Li, Shenzhen, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 40/40 (2022.01); G06T 7/246 (2017.01); G06T 7/64 (2017.01); G06T 7/73 (2017.01); G06V 20/40 (2022.01); G06V 40/16 (2022.01); G06V 40/18 (2022.01);
U.S. Cl.
CPC ...
G06V 40/40 (2022.01); G06T 7/248 (2017.01); G06T 7/64 (2017.01); G06T 7/74 (2017.01); G06V 20/46 (2022.01); G06V 40/161 (2022.01); G06V 40/193 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30201 (2013.01);
Abstract

This application discloses a face anti-spoofing recognition method and apparatus, a device, and a storage medium, and relates to the field of artificial intelligence (AI) technologies. The method is performed by a computer device, including: acquiring face video data including a to-be-detected face; detecting eye contours of the to-be-detected face from image frames of the face video data, and generating an eye contour sequence; performing eye movement probability prediction based on the eye contour sequence, and generating an eye movement state sequence; acquiring a first dataset and a second dataset in the eye movement state sequence; determining a probability of existence of an abnormal blink behavior of the to-be-detected face according to the first dataset and the second dataset; and determining that the to-be-detected face is a real face in a case that the probability is less than a predetermined threshold.


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