公开(公告)号：US20220262163A1

公开(公告)日：2022-08-18

申请号：US17737778

申请日：2022-05-05

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Keyao WANG ,  Jie LU ,  Yunhao LI ,  Haixiao YUE ,  Haocheng FENG

IPC: G06V40/18 ,  G06V40/16 ,  G06V40/40 ,  G06V10/24 ,  G06V10/141

Abstract: A method of face anti-spoofing, a device and a storage medium are provided, which relate to a field of artificial intelligence, in particular to a computer vision and deep learning technology, and can be applied in a face recognition scene. The method includes: acquiring a face image sequence including a plurality of face images; acquiring, based on the face image sequence, a corresponding eye image sequence including a plurality of eye images; recognizing, based on the eye image sequence, a color of an optical spot caused by a pupil in each eye image, so as to obtain a pupil color recognition result; and determining a face anti-spoofing result by using the face image in the face image sequence, in response to the pupil color recognition result indicating that the face image sequence is a sequence of face images captured on site after a face recognition process is started.

公开(公告)号：US20220392267A1

公开(公告)日：2022-12-08

申请号：US17820588

申请日：2022-08-18

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Xin LI ,  Shengzhao WEN ,  Haocheng FENG

IPC: G06V40/50 ,  G06V10/74 ,  G06V40/16

Abstract: An update method for a face database, and a face recognition method, an apparatus and a system, including: obtaining a face image set belonging to a same user as an obtained current face image in an original face database, where the face database includes a face image set of at least one user, and the face image set includes a stored face image; determining similarity between the current face image and the stored face image of the same user, where there is a count value for the stored face image of the same user, and the count value represents a number of consecutive unsuccessful matches or consecutive successful matches between the stored face image of the same user and a further face image of the same user; and updating the original face database according to the similarity and the count value.