Face recognition using HOG-EBGM

被引：132
|
作者：
Albiol, Alberto [1 ]
Monzo, David [1 ]
Martin, Antoine [1 ]
Sastre, Jorge [1 ]
Albiol, Antonio [1 ]
机构：
[1] Univ Politecn Valencia, TEAM 1, E-46071 Valencia, Spain
来源：
PATTERN RECOGNITION LETTERS | 2008年 / 29卷 / 10期
关键词：
face recognition; EBGM; SIFT; HOG; local image descriptors;
D O I：
10.1016/j.patrec.2008.03.017
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new face recognition algorithm based on the well-known EBGM which replaces Gabor features by HOG descriptors. The recognition results show a better performance of our approach compared to other face recognition approaches using public available databases. This better performance is explained by the properties of HOG descriptors which are more robust to changes in illumination, rotation and small displacements, and to the higher accuracy of the face graphs obtained compared to classical Gabor-EBGM ones. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码：1537 / 1543
页数：7
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