白丝美女被狂躁免费视频网站,500av导航大全精品,yw.193.cnc爆乳尤物未满,97se亚洲综合色区,аⅴ天堂中文在线网官网

Living body recognition method, storage medium, and computer device

專利號
US11176393B2
公開日期
2021-11-16
申請人
TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED(CN Shenzhen)
發(fā)明人
Shuang Wu; Shouhong Ding; Yicong Liang; Yao Liu; Jilin Li
IPC分類
G06K9/62; G06K9/00; G06T7/194
技術領域
facial,image,liveness,confidence,model,training,live,target,feature,face
地域: Shenzhen

摘要

A face liveness recognition method includes: obtaining a target image containing a facial image; extracting facial feature data of the facial image in the target image; performing face liveness recognition according to the facial feature data to obtain a first confidence level using a first recognition model, the first confidence level denoting a first probability of recognizing a live face; extracting background feature data from an extended facial image, the extended facial image being obtained by extending a region that covers the facial image; performing face liveness recognition according to the background feature data to obtain a second confidence level using a second recognition model, the second confidence level denoting a second probability of recognizing a live face; and according to the first confidence level and the second confidence level, obtaining a recognition result indicating that the target image is a live facial image.

說明書

For example, the computer device shown in FIG. 11 may obtain the target image through the obtaining module 801 of the face liveness recognition apparatus 800 shown in FIG. 8. The first extraction module 802 is configured to extract facial feature data of a facial image in the target image. The first recognition module 803 is configured to perform face liveness recognition according to the facial feature data to obtain a first confidence level. The first confidence level denotes a first probability of recognizing a face liveness. The second extraction module 804 is configured to extract background feature data from an extended facial image. The extended facial image is obtained by extending a region that covers the facial image. The second recognition module 805 is configured to perform face liveness recognition according to the background feature data to obtain a second confidence level. The second confidence level denotes a second probability of recognizing a live face. The output module 806 is configured to obtain, according to the first confidence level and the second confidence level, a recognition result indicating that the target image is a live facial image.

權利要求

1
微信群二維碼
意見反饋