US 12,272,175 B2
Evaluating method and system for face verification, and computer storage medium
Yang Zhou, Palo Alto, CA (US); and Jie Liu, Palo Alto, CA (US)
Assigned to GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD., Guangdong (CN)
Filed by GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD., Guangdong (CN)
Filed on May 13, 2022, as Appl. No. 17/744,548.
Application 17/744,548 is a continuation of application No. PCT/CN2020/130070, filed on Nov. 19, 2020.
Claims priority of provisional application 62/938,250, filed on Nov. 20, 2019.
Prior Publication US 2022/0343681 A1, Oct. 27, 2022
Int. Cl. G06V 40/16 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01)
CPC G06V 40/172 (2022.01) [G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 40/168 (2022.01)] 20 Claims
OG exemplary drawing
 
1. An evaluating method for face verification, comprising:
obtaining a querying dataset and a training dataset, wherein the querying dataset comprises querying images, and the training dataset comprises training images, wherein the querying images are images pre-stored in a database;
generating verification pairs and an evaluation list respectively according to the querying dataset and the training dataset; wherein the evaluation list comprises the querying images and the training images, each of the verification pairs comprises a querying image and at least one training image, and the querying image and the at least one training image belong to images of a same person;
determining feature information based on the evaluation list;
establishing correspondences between identifiers and features according to first identifiers of the querying images, second identifiers of the training image, and the feature information; and
determining evaluation results of the verification pairs according to the correspondences between the identifiers and the features;
wherein the evaluation results are configured to determine an accuracy of the face verification.