计算机工程2011，Vol.37Issue(24)：147-149,3.DOI:10.3969/j.issn.1000-3428.2011.24.049
基于Gabor相位纹理袁征的人脸识别方法
Face Recognition Method Based on Gabor Phase Texture Representation
摘要
Abstract
To reduce the dimensionality of the Gabor feature, this paper presents a novel approach called Gabor Phase-based Texture Representation(GPTR) for face recognition. GPTR is characterized by using the Generalized Gaussian Density(GGD) to model the Gabor phase distribution. The estimated model parameters serve as texture representation, which is then analyzed by Locality Preserving Projections(LPP) to make them more discriminative. Experimental results on FERET and Yale databases show that GPTR is superior to traditional Gabor features in terms of recognition accuracy.关键词
人脸识别/Gabor相位/纹理表征/广义高斯分布/保局投影Key words
face recognition/ Gabor phase/ texture representation/ Generalized Gaussian Density(GGD)/ Locality Preserving Projection(LPP)分类
信息技术与安全科学引用本文复制引用
杨宏雨,余磊,王森..基于Gabor相位纹理袁征的人脸识别方法[J].计算机工程,2011,37(24):147-149,3.基金项目
重庆市教委科技基金资助项目(KJ100815) （KJ100815）
