US 12,488,624 B2
Method and apparatus for extracting biological features, device, medium, and program product
Taiping Yao, Shenzhen (CN); Keyue Zhang, Shenzhen (CN); Shuang Wu, Shenzhen (CN); Jia Meng, Shenzhen (CN); Shouhong Ding, Shenzhen (CN); and Jilin Li, Shenzhen (CN)
Assigned to TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed by TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Guangdong (CN)
Filed on Nov. 30, 2022, as Appl. No. 18/060,366.
Application 18/060,366 is a continuation of application No. PCT/CN2022/079193, filed on Mar. 4, 2022.
Claims priority of application No. 202110250942.5 (CN), filed on Mar. 8, 2021.
Prior Publication US 2023/0095182 A1, Mar. 30, 2023
Int. Cl. G06V 40/40 (2022.01); G06T 3/40 (2024.01); G06T 7/11 (2017.01); G06T 7/50 (2017.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01)
CPC G06V 40/40 (2022.01) [G06T 3/40 (2013.01); G06T 7/11 (2017.01); G06T 7/50 (2017.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01)] 16 Claims
OG exemplary drawing
 
1. A method for extracting biological features, performed by a computer device, the method comprising:
generating an image sequence according to a biological feature image, the image sequence comprising the biological feature image and n local image blocks, the local image blocks being obtained by segmenting the biological feature image, n being a positive integer;
generating a feature vector group based on the image sequence, feature vectors in the feature vector group being generated based on a feature information interaction result between the biological feature image and the local image blocks and a feature information interaction result between the local image blocks;
taking a feature vector corresponding to the biological feature image in the feature vector group as biological feature information of the biological feature image;
performing data processing on the biological feature information of the biological feature image; and
determining that an object in the biological feature image is a living body based on the data processing comprising:
performing data processing on the biological feature information through an image depth network, and outputting a depth map of the biological feature image; and
determining that an object in the biological feature image is a living body based on a first prediction score being greater than a determination threshold and the depth map being not an all-zero map, the all-zero map representing that pixel values of all pixel points in an image being all zero.