Tencent Cloud Face Recognition leverages Tencent YouTu's face recognition and analysis technologies to provide developers and enterprises with a full set of high-performance and high-availability face recognition services such as detection, analysis, search, comparison, verification, feature localization, and liveness detection. It is applicable to scenarios such as smart retail, smart community, online entertainment, smart buildings, and online identity verification, meeting the needs for facial attribute recognition and identity verification across industries.
Face Recognition can analyze a given image to determine whether it contains a face. If yes, it can return information about the position, attributes, and quality of the face. This includes gender, age, expression, charm, glasses, hair, mask, pose, quality ranking, etc. For more information, please see Face Detection and Analysis.
Face Recognition can locate facial features on a given image and calculate 90 facial landmarks. This includes eyebrows (8 points on each side), eyes (8 points on each side), nose (13 points), mouth (22 points), face contour (21 points), and eyeballs or pupils (2 points). For more information, please see Facial Feature Localization.
Face Recognition can compare faces in two images and return the similarity score. For more information, please see Face Comparison.
Face Recognition allows you to create a group to store information about people (such as facial features and IDs) for face verification and face search. For more information, please see Group Management APIs.
Face Recognition can check whether a person in an image corresponds to a given
PersonId. For more information on
PersonId, please see Group Management APIs. For more information, please see Face Verification.
Unlike the CompareFace API that is used to compare the similarity of two faces, face verification is used to check "whether the person in a given image is the same as the
PersonId" whose information is stored in a group. This
PersonId may have multiple face images.
Face Recognition can recognize the first N people in one or more groups who are similar to the person in a given image and rank the similarity in descending order. Each search supports up to 3 million faces in such groups. The search can be made on one or more faces in the image. For more information, please see Face Search.
Image-based liveness detection is used to detect the liveness of faces in images uploaded by the user (i.e., whether the person in the image is real). Compared to video-based liveness detection, image-based detection does not require speaking, shaking heads, winking, etc. It is only suitable for scenarios where requirements for attack defense are not high. For more information, please see Image-based Liveness Detection.
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