Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment
Zhuang, Liansheng1; Chan, Tsung-Han2; Yang, Allen Y.3; Sastry, S. Shankar3; Ma, Yi4
2015-09
发表期刊INTERNATIONAL JOURNAL OF COMPUTER VISION
ISSN0920-5691
卷号114期号:2-3页码:272-287
发表状态已发表
DOI10.1007/s11263-014-0749-x
摘要Single-sample face recognition is one of the most challenging problems in face recognition. We propose a novel algorithm to address this problem based on a sparse representation based classification (SRC) framework. The new algorithm is robust to image misalignment and pixel corruption, and is able to reduce required gallery images to one sample per class. To compensate for the missing illumination information traditionally provided by multiple gallery images, a sparse illumination learning and transfer (SILT) technique is introduced. The illumination in SILT is learned by fitting illumination examples of auxiliary face images from one or more additional subjects with a sparsely-used illumination dictionary. By enforcing a sparse representation of the query image in the illumination dictionary, the SILT can effectively recover and transfer the illumination and pose information from the alignment stage to the recognition stage. Our extensive experiments have demonstrated that the new algorithms significantly outperform the state of the art in the single-sample regime and with less restrictions. In particular, the single-sample face alignment accuracy is comparable to that of the well-known Deformable SRC algorithm using multiple gallery images per class. Furthermore, the face recognition accuracy exceeds those of the SRC and Extended SRC algorithms using hand labeled alignment initialization.
关键词Single-sample face recognition Illumination dictionary learning Sparse illumination transfer Face alignment Robust face recognition
收录类别SCI ; EI
语种英语
资助项目Science Foundation for Outstanding Young Talent of Anhui Province[BJ2101020001]
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000360071900010
出版者SPRINGER
EI入藏号20143600027095
EI主题词Algorithms ; Alignment ; Crime ; Silt
EI分类号Soils and Soil Mechanics:483.1 ; Mechanical Devices:601.1 ; Telecommunication; Radar, Radio and Television:716 ; Computer Software, Data Handling and Applications:723 ; Mathematics:921 ; Social Sciences:971
WOS关键词ALGORITHM ; MODELS
原始文献类型Article
引用统计
文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/2149
专题信息科学与技术学院
信息科学与技术学院_PI研究组_马毅组
通讯作者Yang, Allen Y.
作者单位1.Univ Sci & Technol China, CAS Key Lab Electromagnet Space Informat, Hefei, Peoples R China
2.Adv Digital Sci Ctr, Singapore, Singapore
3.Univ Calif Berkeley, Dept EECS, Berkeley, CA 94720 USA
4.ShanghaiTech Univ, Shanghai, Peoples R China
推荐引用方式
GB/T 7714
Zhuang, Liansheng,Chan, Tsung-Han,Yang, Allen Y.,et al. Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2015,114(2-3):272-287.
APA Zhuang, Liansheng,Chan, Tsung-Han,Yang, Allen Y.,Sastry, S. Shankar,&Ma, Yi.(2015).Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment.INTERNATIONAL JOURNAL OF COMPUTER VISION,114(2-3),272-287.
MLA Zhuang, Liansheng,et al."Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment".INTERNATIONAL JOURNAL OF COMPUTER VISION 114.2-3(2015):272-287.
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