Sparse discriminative multi-manifold embedding for one-sample face identification

doi:10.1016/j.patcog.2015.09.024

科研成果详情

题名	Sparse discriminative multi-manifold embedding for one-sample face identification
作者	Zhang，Pengyue 1,3; You，Xinge 1; Ou，Weihua 2; Philip Chen，C. L.1,4; Cheung，Yiu Ming 5,6
发表日期	2016-04-01
发表期刊	Pattern Recognition
ISSN/eISSN	0031-3203
卷号	52 页码:249-259
摘要	In this paper, we study the problem of face identification from only one training sample per person (OSPP). For a face identification system, the most critical obstacles towards real-world applications are often caused by the disguised, corrupted and varying illuminated images in limited sample sets. Meanwhile, storing fewer training samples would essentially reduce the cost for collecting, storing and processing data. Unfortunately, most methods in the literature basically need large training sets for good representation and generation abilities and would fail if there is only one training sample per person. In this paper, we propose a two-step scheme for the OSPP problem by posing it as a representation and matching problem. For the representation step, we present a novel manifold embedding algorithm, namely sparse discriminative multi-manifold embedding (SDMME), to learn the intrinsic representation beneath the raw data. We construct two sparse graphs to measure the sample similarity, based on two structured dictionaries. Multiple feature spaces are learned to simultaneously minimize the bias from the subspace of the same class and maximize the distances to the subspaces of other classes. For the matching step, we use a distance metric based on the manifold structure to identify the person. Extensive experiments demonstrate that the proposed method outperforms other state-of-the-art methods for the problem of one-sample face identification, while the robustness with occlusion and illumination variances highlights the contribution of our work.
关键词	Face recognition Manifold embedding Structured sparse representation
DOI	10.1016/j.patcog.2015.09.024
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-84951909275
引用统计	被引频次：67[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6412
专题	北师香港浸会大学
通讯作者	You，Xinge
作者单位	1.Department of Electronics and Information Engineering,Huazhong University of Science and Technology,Wuhan,430074,China 2.School of Mathematics and Computer Science,Guizhou Normal University,Guiyang,550001,China 3.Department of Computer Science,Stony Brook University,Stony Brook,11790,United States 4.Faculty of Science and Technology,University of Macau,Macao 5.Department of Computer Science,Hong Kong Baptist University,Hong Kong,Hong Kong 6.BNU-HKBU United International College,Zhuhai,China
推荐引用方式 GB/T 7714	Zhang，Pengyue,You，Xinge,Ou，Weihuaet al. Sparse discriminative multi-manifold embedding for one-sample face identification[J]. Pattern Recognition, 2016, 52: 249-259.
APA	Zhang，Pengyue, You，Xinge, Ou，Weihua, Philip Chen，C. L., & Cheung，Yiu Ming. (2016). Sparse discriminative multi-manifold embedding for one-sample face identification. Pattern Recognition, 52, 249-259.
MLA	Zhang，Pengyue,et al."Sparse discriminative multi-manifold embedding for one-sample face identification". Pattern Recognition 52(2016): 249-259.