US 12,462,605 B2
Assessing face image quality for application of facial recognition
Xingyu Chen, Shenzhen (CN); Ruixin Zhang, Shenzhen (CN); Fuzhao Ou, Shenzhen (CN); Yuge Huang, Shenzhen (CN); and Shaoxin Li, Shenzhen (CN)
Assigned to TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Guangdong (CN)
Filed by Tencent Technology (Shenzhen) Company Limited, Guangdong (CN)
Filed on Nov. 21, 2022, as Appl. No. 17/991,670.
Application 17/991,670 is a continuation of application No. PCT/CN2021/123252, filed on Oct. 12, 2021.
Claims priority of application No. 202011255554.8 (CN), filed on Nov. 11, 2020.
Prior Publication US 2023/0087657 A1, Mar. 23, 2023
Int. Cl. G06V 40/16 (2022.01); G06V 10/44 (2022.01)
CPC G06V 40/172 (2022.01) [G06V 10/443 (2022.01); G06V 40/168 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A face image quality assessment method, comprising:
acquiring a face image;
determining a similarity distribution distance of the face image, the similarity distribution distance comprising a distribution distance between an intra-person similarity distribution of the face image and an inter-person similarity distribution of the face image, the intra-person similarity distribution indicating a similarity distribution between the face image and a first-type image of a same person as the face image, the inter-person similarity distribution indicating a similarity distribution between the face image and a second-type image of a different person from the face image; and
determining image quality of the face image based on the similarity distribution distance of the face image.