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A Multi-View Face Recognition System

Zhang Yongyue; Peng Zhenyun; You Suya; Xu Guangyou;   

  1. Department of Computer Science and Technology; Tsinghua University; Beijing 100084;
  • Online:1997-09-10 Published:1997-09-10

In many automatic face recognition systems, posture constraining is a key factor preventin g them from application. In thi5.paper, a series of strategles. will be described to achieve a system which enables face recognition under varying pose. These approaches include the multi-view face modeling, the threshold image based face feature detection, the affine transformation based face posture normalization and the template matching based face idelltification. Combining all of these strategies, a face recognition system with the pose invariance is designed successfully. Using a 75MHZ Pentium PC and with a database of 75 individuals, 15 images for each person, and 225 test images with various postures, a very good recognition rate of 96.89% is obtained.

Key words: delay fault; false path; redundancy; stuck-at fault;



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