Tencent Technology (Shenzhen) Company Limited

Tencent Technology Company Limited

Jia Meng

Shouhong Ding

Jilin Li

Taiping Yao

Shuang Wu

Chengjie Wang

Jian Zhang

Ying Tai

Yanhao Ge

Xuan Cao

Keyue Zhang

Dongheng Zhang

Xinzhe Deng

Mingwei Bi

Xinyao Wang

Bangjie Yin

A liveness detection method includes: obtaining a reflected audio signal and video data of a object in response to receiving a liveness detection request; performing signal processing and time-frequency analysis on the reflected audio signal to obtain time-frequency information of a processed audio signal, and extracting motion trajectory information of the object from the video data; respectively extract features from the time-frequency information and the motion trajectory information to obtain an audio feature and a motion feature of the object; calculating first global attention information of the object according to the audio feature, and calculating second global attention information of the object according to the motion feature; and fusing the first global attention information with the second global attention information to obtain fused global information, and determining a liveness detection result of the object based on the fused global information.

Liveness detection method and apparatus, electronic device, and storage medium

A method and apparatus for extracting biological features, a device, a medium, and a program product, relating to the field of image processing. The method includes generating an image sequence according to a biological feature image, the image sequence including the biological feature image and n local image blocks, the local image blocks being obtained by segmenting the biological feature image, n being a positive integer, generating a feature vector group based on the image sequence, feature vectors in the feature vector group being generated based on a feature information interaction result between the biological feature image and the local image blocks and a feature information interaction result between the local image blocks, and taking a feature vector corresponding to the biological feature image in the feature vector group as biological feature information of the biological feature image.

Method and apparatus for extracting biological features, device, medium, and program product

An image processing method, including: obtaining an original image, the original image including biological features of a to-be-detected object, fusing a global frequency domain map corresponding to the original image with the original image to obtain a global fusion image, performing living body detection on the global fusion image to obtain a first detection result, determining that the original image does not pass the living body detection when the first detection result indicates that the original image belongs to a screen reproduced image, obtaining, when the original image does not belong to the screen reproduced image, a biological feature image based on the biological features, fusing a local frequency domain map with the biological feature image to obtain a local fusion image, performing living body detection on the local fusion image to obtain a second detection result, and determining a living body detection result corresponding to the original image.

Image processing method and apparatus, device, storage medium, and computer program product

A method of living body detection includes generating a detection interface in response to a receipt of a living body detection request for a verification of a detection object. The detection interface includes a first region with a viewing target for the detection object to track, a position of the first region in the detection interface changes during a detection time according to a first sequence of a position change of the first region. The method also includes receiving a video stream that is captured during the detection time, determining a second sequence of a sight line change of the detection object based on the video stream, and determining that the detection object is a living body at least partially based on the second sequence of the sight line change of the detection object matching the first sequence of the position change of the first region.

Living body detection method and apparatus, electronic device, and storage medium

This application provides a face living body detection method performed by a computing device, the method including: obtaining a first face image of a target detection object in a first illumination condition and a second face image of the target detection object in a second illumination condition, determining a difference image according to the two images, decoupling an object reflectivity and an object normal vector corresponding to the target detection object from a feature map extracted from the difference image, and determining whether the target detection object is a living body according to the object reflectivity and the object normal vector. This method decouples texture information and depth information of a face, and performs living body detection by using decoupled information, which increases the defense capability against 3D attacks, thereby effectively defending against planar attacks and 3D attacks.

Face living body detection method and apparatus, device, and storage medium

A face liveness detection method is performed by an electronic device. The method includes: obtaining an initial face image of an object and a face image set of the object captured at N different illumination directions; obtaining N difference images according to the initial face image and the N face images in the face image set; generating a normal map and an albedo map according to the N difference images and the N illumination directions; and determining a face liveness detection result according to the N difference images, the normal map, and the albedo map, the face liveness detection result indicating whether the object has a live face or not. In this application, three-dimensional (3D) geometric information and surface material information of a face image are considered, thereby recognizing the authenticity of the face image, and effectively resisting different face liveness attack manners.

Face liveness detection method and related apparatus

Growing community of inventors

Shenzhen, China

Jia Meng