Face identification method and face identification system

Abstract

The invention provides a face identification method and a face identification system. The method comprises the following steps: S101) carrying out segmentation on glasses in a glasses picture to obtain a glasses template; S102) defining face key points on the picture of human face without glasses, and defining glasses key points on the glasses picture and the glasses template; and S103) adjusting the glasses picture and the glasses template according to the face key points and the glasses key points so as to enable the glasses picture and the glasses template to be matched with the picture of human face without glasses, and the glasses in the glasses picture are superposed on the picture of human face without glasses through the glasses template to form a picture of human face wearing the glasses. The method can realize quicker, simpler and accurate identification of the human face wearing the glasses, and provides better identification performance. The face identification system also has the advantages above.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a face recognition method and a face recognition system. Background technique [0002] Face occlusion has a huge impact on face recognition systems (such as current mainstream statistics or machine learning face recognition systems). Glasses are a common occlusion, and its main impact on face recognition is: 1) It is difficult to collect a large number of face pictures with glasses for system training; A simple model description; 3) Glasses will change the statistical characteristics and image features of the image, thereby bringing recognition interference to the face recognition system. The existing mainstream technology adopts the method of removing glasses for face recognition systems covered by glasses. The disadvantage is that there are many styles of glasses and great changes. The current algorithm for removing glasses cannot perfectly remove glasses, which often leaves o...

AI Technical Summary

Problems solved by technology

Glasses are a common occlusion, and its main impact on face recognition is: 1) It is difficult to collect a large number of face pictures with glasses for system training; A simple model description; 3) Glasses will change the statistical characteristics and image features of the image, thereby bringing recognition interference to the face recognition system

The existing mainstream technology adopts the method of removing glasses for face recognition systems covered by glasses. The disadvantage is that there are many styles of glasses and great changes. The current algorithm for removing glasses cannot perfectly remove glasses, which often leaves or brings New noise, which affects subsequent recognition performance

[0003] In addition, the existing face recognition systems covered by glasses all use the method of building a 3D model of glasses and a 3D model of the face, the algorithm is complex, the operation is slow, and the recognition effect is not good

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