Face attribute recognition system and method based on multiple areas of face

Abstract

The invention belongs to the field of human face recognition, particularly relates to a face attribute recognition system and method based on multiple human face areas, and aims to solve the problem that the recognition rate is low due to the fact that detail information is ignored in face attribute recognition of a single global human face image, and the system comprises a preprocessing unit, a human face feature extraction unit and a prediction unit; the preprocessing unit is used for carrying out face key point detection on a face in the input image and aligning and cutting the face image to obtain a first image and face key points corresponding to the first image; the face feature extraction unit extracts global face features and local face features and fuses the face features; and theprediction unit splices the global face feature, the local face feature and the fused face feature to obtain a final classification feature, and performs attribute recognition based on a specific attribute classifier. According to the method, more effective face attribute characteristics can be extracted based on multiple face areas, and more accurate face attribute estimation can be obtained.

Description

technical field [0001] The invention belongs to the field of face recognition, and in particular relates to a face attribute recognition system and method based on multiple face regions. Background technique [0002] Usually face attribute analysis often uses a single global face image as input, so it is easy to ignore local and detailed information, and these details are also crucial for analyzing face attributes. Wrinkles and beards also contain rich age information; for expression attributes, when people smile, the corners of their mouths tend to rise. Therefore, both global and local face region information are very important when analyzing face attributes. How to comprehensively utilize global and local face region information for face attribute recognition and improve recognition rate is a problem to be solved in this field. Contents of the invention [0003] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem of l...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem of low recognition rate caused by ignoring the detail information in the face attribute recognition of a single global face image, the first aspect of the present invention proposes a human-based A face attribute recognition system with multiple face regions, the system includes a preprocessing unit, a face feature extraction unit, and a prediction unit;

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