Beijing Sensetime Technology Development Co., Ltd.

Liwei Wu

Tianpeng Bao

Kai Yang

Rui Zhang

Chenxu Zhao

Meng Yu

Yinghui Che

Xiaoyang Guo

Wukui Yang

Mingyang Liang

A face anti-counterfeiting detection method includes: obtaining an image or video to be detected containing a face; extracting a feature of the image or video to be detected, and detecting whether the extracted feature contains counterfeited face clue information; and determining whether the face passes the face anti-counterfeiting detection according to a detection result.

Face anti-counterfeiting detection methods and systems, electronic devices, programs and media

The embodiments disclose a method and device for liveness detection and a computer-readable storage medium. The method includes that: a first image collected by a first image sensor of a binocular camera is acquired, and a second image collected by a second image sensor of the binocular camera is acquired: binocular matching processing is performed on the first image and the second image to obtain parallax information of the first image and the second image; and a Iiveness detection result is obtained according to the parallax information. By adopting the embodiments of the present disclosure, the accuracy of liveness detection can be improved.

Method and device for liveness detection, and storage medium

A method for liveness detection includes: acquiring a first depth map captured by a depth sensor and a first target image captured by an image sensor; performing quality detection on the first depth map to obtain a quality detection result of the first depth map; and determining a liveness detection result of a target object in the first target image based on the quality detection result of the first depth map. The present disclosure can improve the accuracy of liveness detection.

Method, apparatus and system for liveness detection, electronic device, and storage medium

The present disclosure relates to methods and apparatuses for liveness detection, electronic devices, and computer readable storage media, improving the accuracy of liveness detection. The method includes: carrying out feature extraction on a collected image to obtain image feature information; determining a modality classification result of the image based on the image feature information, the modality classification result indicating that the image corresponds to a target modality in at least one modality; and determining whether a target object in the image is living based on the modality classification result of the image.

Methods and apparatuses for liveness detection, electronic devices, and computer readable storage media

Face anti-counterfeiting detection methods and systems, electronic devices, and computer storage media include: obtaining an image or video to be detected containing a face; extracting a feature of the image or video to be detected, and detecting whether the extracted feature contains counterfeited face clue information; and determining whether the face passes the face anti-counterfeiting detection according to a detection result.

A method and apparatus for detecting a living body, an electronic device and a storage medium include: performing target object detection on a first image captured by a first image sensor in a binocular camera apparatus to obtain a first target region, and performing the target object detection on a second image captured by a second image sensor in the binocular camera apparatus to obtain a second target region; obtaining key point depth information of a target object according to the first target region and the second target region; and determining, based on the key point depth information of the target object, whether the target object is a living body.

Method and apparatus for detecting living body, electronic device, and storage medium

A method for detecting a living body includes: acquiring depth information of a target object sensed by a first sensor and a target image sensed by a second sensor; performing key point detection on the target image to obtain key point information of the target object; and obtaining a living body detection result of the target object based on the depth information of the target object and the key point information of the target object.

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Beijing, China

Liwei Wu