US 12,347,239 B2
Face liveness detection method, system, apparatus, computer device, and storage medium
Zhao Luo, Shenzhen (CN); and Kun Bai, Shenzhen (CN)
Assigned to TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed by Tencent Technology (Shenzhen) Company Limited, Shenzhen (CN)
Filed on Oct. 12, 2022, as Appl. No. 17/964,688.
Application 17/964,688 is a continuation of application No. PCT/CN2021/103424, filed on Jun. 30, 2021.
Claims priority of application No. 20210816200.X (CN), filed on Aug. 14, 2020.
Prior Publication US 2023/0045306 A1, Feb. 9, 2023
Int. Cl. G06V 40/40 (2022.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01)
CPC G06V 40/45 (2022.01) [G06V 10/82 (2022.01); G06V 40/172 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A face liveness detection method performed by a computer device, the method comprising:
receiving an image from a terminal, the image comprising a face of an object captured by a camera of the terminal;
performing data augmentation on the image, to obtain a plurality of extended images corresponding to the image, wherein each extended image is a variation of the image;
performing liveness detection on the plurality of extended images independently, to obtain a plurality of intermediate detection results of the plurality of the extended images, wherein each intermediate detection result is obtained from the liveness detection on a corresponding extended image, a liveness detection model used in liveness detection being obtained by performing model training on an initial neural network model according to a sample image and extended sample images corresponding to the sample image;
counting a first number of intermediate detection results indicating that the object is a liveness;
counting a second number of intermediate detection results indicating that the object is not a liveness;
obtaining, when the first number is greater than the second number, a final liveness detection result indicating that the object is a liveness; and
performing a predefined operation in accordance with an identity of the object and the final liveness detection result.