A Robust Face Recognition Method Combining LBP with Multi-mirror Symmetry for Images with Various Face Interferences

doi:10.1007/s11633-018-1153-8

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	A Robust Face Recognition Method Combining LBP with Multi-mirror Symmetry for Images with Various Face Interferences
	Shui-Guang Tong 1,2; Yuan-Yuan Huang 1,2; Zhe-Ming Tong 1,2
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2019
卷号	16 期号:5 页码:671-682
摘要	Face recognition (FR) is a practical application of pattern recognition (PR) and remains a compelling topic in the study of computer vision. However, in real-world FR systems, interferences in images, including illumination condition, occlusion, facial expression and pose variation, make the recognition task challenging. This study explored the impact of those interferences on FR performance and attempted to alleviate it by taking face symmetry into account. A novel and robust FR method was proposed by combining multi-mirror symmetry with local binary pattern (LBP), namely multi-mirror local binary pattern (MMLBP). To enhance FR performance with various interferences, the MMLBP can 1) adaptively compensate lighting under heterogeneous lighting conditions, and 2) generate extracted image features that are much closer to those under well-controlled conditions (i.e., frontal facial images without expression). Therefore, in contrast with the later variations of LBP, the symmetrical singular value decomposition representation (SSVDR) algorithm utilizing the facial symmetry and a state-of-art non-LBP method, the MMLBP method is shown to successfully handle various image interferences that are common in FR applications without preprocessing operation and a large number of training images. The proposed method was validated with four public data sets. According to our analysis, the MMLBP method was demonstrated to achieve robust performance regardless of image interferences.
关键词	Face recognition (FR) local binary pattern (LBP) facial symmetry image interferences multi-mirror average.
DOI	10.1007/s11633-018-1153-8
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42366
专题	学术期刊_Machine Intelligence Research
作者单位	1.State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, No.38, Zheda Road, Hangzhou 310027, China 2.School of Mechanical Engineering, Zhejiang University, No.38, Zheda Road, Hangzhou 310027, China
推荐引用方式 GB/T 7714	Shui-Guang Tong,Yuan-Yuan Huang,Zhe-Ming Tong. A Robust Face Recognition Method Combining LBP with Multi-mirror Symmetry for Images with Various Face Interferences[J]. International Journal of Automation and Computing,2019,16(5):671-682.
APA	Shui-Guang Tong,Yuan-Yuan Huang,&Zhe-Ming Tong.(2019).A Robust Face Recognition Method Combining LBP with Multi-mirror Symmetry for Images with Various Face Interferences.International Journal of Automation and Computing,16(5),671-682.
MLA	Shui-Guang Tong,et al."A Robust Face Recognition Method Combining LBP with Multi-mirror Symmetry for Images with Various Face Interferences".International Journal of Automation and Computing 16.5(2019):671-682.

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