Kernel-based Subspace Analysis for Face Recognition

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dc.contributor.author Tsai, Po-Hsiang en_US
dc.contributor.author Jan, Tony en_US
dc.contributor.author Hintz, Thomas en_US
dc.contributor.editor N/A en_US
dc.date.accessioned 2009-11-09T05:39:15Z
dc.date.available 2009-11-09T05:39:15Z
dc.date.issued 2007 en_US
dc.identifier 2007000660 en_US
dc.identifier.citation Tsai Po-Hsiang, Jan Tony, and Hintz Thomas 2007, 'Kernel-based Subspace Analysis for Face Recognition', IEEE Press, Florida, USA, pp. 1127-1132. en_US
dc.identifier.issn 978-1-4244-1380-5 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/3170
dc.description.abstract In face recognition, if the extracted input data contains misleading information (uncertainty), the classifiers may produce degraded classification performance. In this paper, we employed kernel-based discriminant analysis method for the non-separable problems in face recognition under facial expression changes. The effect of the transformations on a subsequent classification was tested in combination with learning algorithms. We found that the transformation of kernel-based discriminant analysis has a beneficial effect on the classification performance. The experimental results indicated that the nonlinear discriminant analysis method dealt with the uncertainty problem very well. Facial expressions can be used as another behavior biometric for human identification. It appears that face recognition may be robust to facial expression changes, and thus applicable. en_US
dc.publisher IEEE Press en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/IJCNN.2007.4371116 en_US
dc.title Kernel-based Subspace Analysis for Face Recognition en_US
dc.parent IEEE International Joint Conference on Neural Networks en_US
dc.journal.number en_US
dc.publocation Florida, USA en_US
dc.identifier.startpage 1127 en_US
dc.identifier.endpage 1132 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference.location Orlando, USA en_US
dc.for 080108 en_US
dc.personcode 044177 en_US
dc.personcode 020524 en_US
dc.personcode 830145 en_US
dc.percentage 40 en_US
dc.classification.name Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE International Joint Conference on Neural Networks en_US
dc.date.activity 20070812 en_US
dc.location.activity Orlando, USA en_US
dc.description.keywords emotion recognition face recognition feature extraction image classification neural nets statistical analysis en_US
dc.staffid 830145 en_US


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