DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chung, Jinyun | - |
dc.contributor.author | Lee, Juho | - |
dc.contributor.author | Park, Hyun Jin | - |
dc.contributor.author | Yang, Hyun Seung | - |
dc.date.accessioned | 2007-06-04T03:11:21Z | - |
dc.date.available | 2007-06-04T03:11:21Z | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | 2006 International Conference on Intelligent Computing, Page 872-878 | en |
dc.identifier.isbn | 978-3-540-37274-5 | - |
dc.identifier.uri | http://hdl.handle.net/10203/424 | - |
dc.description.abstract | In this paper, we suggest a viewpoint-invariant face recognition model based on view-based representation. The suggested model has four stages: view-based representation, viewpoint classification, frontal face estimation and face recognition. For view-based representation, we obtained the feature space by using independent subspace analysis, the bases of which are grouped like the neurons in the brain’s visual area. The viewpoint of a facial image can be easily classified by a single-layer perceptron due to view-dependent activation characteristic of the feature space. To estimate the independent subspace analysis representation of frontal face, a radial basis neural network learns to generalize the relation of the bases between two viewpoints. Face recognition relies on a normalized correlation for selecting the most similar frontal faces in a gallery. Through our face recognition experiment on XM2VTS [9], we obtained a face recognition rate of 89.33%. | en |
dc.description.sponsorship | This research was supported by the Brain Neuroinformatics Research Program, which is sponsored by the Ministry of Commerce, Industry and Energy, and by the Ubiquitous Autonomic Computing and Network Project of the 21st Century Frontier R&D Program, which is sponsored by the Ministry of Informa-tion and Communication. | en |
dc.language.iso | en_US | en |
dc.publisher | Springer Verlag (Germany) | en |
dc.title | Viewpoint-Invariant Face Recognition Based on View-Based Representation | en |
dc.type | Article | en |
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