Video-based Face Recognition Using the POEM Descriptor

被引：0
|
作者：
Nasiri, Saeid [1 ]
Ghahnavieh, Amir Ebrahimi [1 ]
Raie, Abolghasem A. [1 ]
机构：
[1] Amirkabir Univ Technol, Tehran Polytech, Fac Elect Engn, Mobile Robots Res Lab, 424 Hafez Ave, Tehran 158754413, Iran
来源：
2014 22ND IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2014年
关键词：
video-based face recognition; POEM descriptor; spatiotemporal operator; gradient magnitude; gradient orientation; LOCAL BINARY PATTERNS; SCALE;
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：
Numerous methods are proposed in describing and analyzing faces in videos using spatiotemporal operators and they have obtained very noteworthy results. This paper proposes three new operators, POEM-TOP, VPOEM and AMVs+LBP-TOP, for video-based face recognition. These operators use gradient orientation and gradient magnitude of video frames for video description and feature extraction. Robustness to uniform illumination variations and computational simplicity are among the benefits of the proposed operators. Experiments are applied on two standard databases, Honda/UCSD and VidTIMIT, which are provided for video-based face recognition. The experimental results show the effectiveness of our proposed methods.
引用
收藏
页码：1125 / 1129
页数：5
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