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Robust face recognition from a single training image per person with Kernel-based SOM-face
Tan, XY; Chen, SC; Zhou, ZH; Zhang, FY; Yin, FL; Wang, J; Guo, CG
Source PublicationADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1
2004
Volume3173Pages:858-863
SubtypeArticle
AbstractIn this paper, a kernel-based SOM-face method is proposed to recognize expression variant faces under the situation of only one training image per person. Based on the localization of the face, an unsupervised kernel-SOM learning procedure is carried out to capture the common local features and the non-Euclidean structure of the image data, so that a compact and robust representation of the face can be obtained. Experiments on the FERET face database show that the Kernel-based SOM-face method can obtain higher recognition performance than the regular SOM-face method.
WOS HeadingsScience & Technology ; Technology
WOS KeywordALGORITHMS ; EIGENFACES
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000223492600141
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8926
Collection09年以前成果
Affiliation1.Nanjing Univ, Natl Lab Novel Software Technol, Nanjing 210093, Peoples R China
2.Nanjing Univ Aeronaut & Astronaut, Dept Comp Sci & Engn, Nanjing 210016, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Tan, XY,Chen, SC,Zhou, ZH,et al. Robust face recognition from a single training image per person with Kernel-based SOM-face[J]. ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1,2004,3173:858-863.
APA Tan, XY.,Chen, SC.,Zhou, ZH.,Zhang, FY.,Yin, FL.,...&Guo, CG.(2004).Robust face recognition from a single training image per person with Kernel-based SOM-face.ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1,3173,858-863.
MLA Tan, XY,et al."Robust face recognition from a single training image per person with Kernel-based SOM-face".ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1 3173(2004):858-863.
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