Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICASSP.2008.4518059
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dc.titleFlexible X-Y patches for face recognition
dc.contributor.authorLiu, M.
dc.contributor.authorYan, S.
dc.contributor.authorFu, Y.
dc.contributor.authorHuang, T.S.
dc.date.accessioned2014-06-19T03:11:04Z
dc.date.available2014-06-19T03:11:04Z
dc.date.issued2008
dc.identifier.citationLiu, M., Yan, S., Fu, Y., Huang, T.S. (2008). Flexible X-Y patches for face recognition. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings : 2113-2116. ScholarBank@NUS Repository. https://doi.org/10.1109/ICASSP.2008.4518059
dc.identifier.isbn1424414849
dc.identifier.issn15206149
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70343
dc.description.abstractIn this paper, illuminated by the great success of Universal Background Modeling (UBM) for speech/speaker recognition, we present a new algorithm for face recognition. On the one hand, we encode each face image as an ensemble of X-Y patches, which integrate both local appearance and shape information. These X-Y patch representation provides the possibility to compare two spatially different patches, and consequently alleviates the requirement of exact pixel-wise alignment. On the other hand, we train the UBM based on the X-Y patches from the images of differen subjects, and then automatically adapt the UBM for specific subject, and finally face recognition is conducted by comparing the ratio of the likelihoods from the model for specific subject and UBM. UBM elicits the algorithmic robustness to image occlusion since the occluded patches may not contribute evidence to any subjects. Comparison experiments with the state-of-the-art subspace learning algorithms, on the popular CMU PIE face database and with varieties of configurations, demonstrate that our proposed algorithm brings significant improvement in face recognition accuracy, and also show the algorithmic robustness to image occlusions. ©2008 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICASSP.2008.4518059
dc.sourceScopus
dc.subjectAppearance
dc.subjectFace recognition
dc.subjectShape
dc.subjectX-Y patches
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICASSP.2008.4518059
dc.description.sourcetitleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dc.description.page2113-2116
dc.description.codenIPROD
dc.identifier.isiut000257456701190
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