A face recognition system based on automatically determined facial fiducial points

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摘要

In this paper, a completely automatic face recognition system is presented. The method works on color images: after having localized the face and the facial features, it determines 24 facial fiducial points, and characterizes them applying a bank of Gabor filters which extract the peculiar texture around them (jets). Recognition is realized measuring the similarity between the different jets. The system is inspired by the elastic bunch graph method, while it does no assumption on the scale, pose, and the background. Comparison with standard algorithms is presented and discussed.

论文关键词:Face and facial feature localization,Face analysis, recognition, and normalization,Facial fiducial points,Gabor wavelet

论文评审过程:Received 21 November 2003, Revised 27 June 2005, Accepted 27 June 2005, Available online 12 October 2005.

论文官网地址:https://doi.org/10.1016/j.patcog.2005.06.015