COLOR HOG-EBGM FOR FACE RECOGNITION

被引:0
|
作者
Monzo, David [1 ]
Albiol, Alberto [1 ]
Albiol, Antonio [1 ]
Mossi, Jose M. [1 ]
机构
[1] Univ Politecn Valencia, ITEAM Inst, Valencia, Spain
来源
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Most face recognition algorithms make only use of intensity information of the images discarding color as a distinctive cue. This paper extends the HOG-EBGM face recognition algorithm to use color information. In HOG-EBGM, each face is represented by a graph described by HOG features at specific landmarks. The color extension of the method here proposed intends to make the algorithm robust against color changes, while keeping its former robustness against scale, position, rotation and intensity variations. In the paper, several color representations of the faces are studied. Also, to reduce the higher dimensionality of the new color features, a comparison of dimensionality reduction techniques is included. Results on the Experiment 4 of the Face Recognition Grand Challenge show that color HOG-EBGM outperforms the gray-scale version of the algorithm in all cases. The best results were obtained using the Opponent color space with LDA.
引用
收藏
页码:785 / 788
页数:4
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