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基于二维Gabor小波特征的三维人脸识别算法

3D Face Recognition Algorithm Based on 2D Gabor Wavelet Feature

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【作者】 孔华锋鲁宏伟冯悦

【Author】 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)

【机构】 华中科技大学计算机科学与技术学院

【摘要】 分析三维人脸识别技术,提出一种基于Gabor小波特征的三维人脸识别算法。该算法采用二维Gabor小波特征精确且稳定地描述人脸特征,重建三维人脸模型并对其进行模板匹配,对匹配后的三维人脸模型进行线性判别分析。对基于ORL和UMIST两个人脸数据库的实验结果表明,该算法性能优良。

【Abstract】 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.

  • 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2008年17期
  • 【分类号】TP391.41
  • 【被引频次】13
  • 【下载频次】450
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