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《Computer Engineering》 2008-17
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3D Face Recognition Algorithm Based on 2D Gabor Wavelet Feature

KONG Hua-feng1,2,LU Hong-wei1,FENG Yue1(1.School of Computer Science and Technology,Huazhong University of Science and Technology,Wuhan 430074;2.Institute of Pattern Recognition and Artificial Intelligence,Huazhong University of Science and Technology,Wuhan 430074)  
This paper analyzes the feature of 3D face recognition,and presents a 3D face recognition algorithm based on 2D Gabor wavelet feature.This algorithm uses 2D Gabor wavelet feature to describe features on human face accurately and stably.The 3D face recognition is performed by three steps:3D face model reconstruction,pattern matching of reconstructed 3D face model and Linear Discriminates Analysis of matched 3D face model.The experimental result based on ORL and UMIST databases shows that this method has excellent performances.
【CateGory Index】: TP391.41
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