Automatic Human Face Recognition Based on Eigencurves
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    Abstract:

    A fast method for face recognition based on eigencurves is presented in this paper.First all faces with different poses and sizes are located and normalized.Then several kinds of eigencurves are built to describe characteristics of faces.And finally,the dominant characteristics are extracted which are composed of representative vectors of faces through analyzing the eigencurves using Fourier describer.This method has been tested on 1300 facial images and shown a good performance of speed and accuracy,and the result also shows it is robust for various head poses and expressions.

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章高清,王申康,叶懋东.基于特征曲线的自动人面识别研究.软件学报,2000,11(3):372-378

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History
  • Received:October 22,1998
  • Revised:April 06,1999
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