Part-Based And Multispace Random Mapping For Face Recognition
In this thesis, we studied several part-based approaches for face recognition. Our objective is to reduce the dimensionality of the raw image while retaining as many salient features as possible. Non-Negative Matrix Factorization (NMF) is recently a proposed method to obtain a part-based linear repr...
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| Format: | Thesis |
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2005
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| Online Access: | http://shdl.mmu.edu.my/883/ |
| _version_ | 1848789628204613632 |
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| author | Neo, Han Foon |
| author_facet | Neo, Han Foon |
| author_sort | Neo, Han Foon |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | In this thesis, we studied several part-based approaches for face recognition. Our objective is to reduce the dimensionality of the raw image while retaining as many salient features as possible. Non-Negative Matrix Factorization (NMF) is recently a proposed method to obtain a part-based linear representation of facial image. However, the bases learned by NMF do not display perfectly the local characteristics as there are still some non-zero weight values in the features. These values appear as noise and contribute to the degradation of the recognition performance. In this thesis, we have proposed a novel part-based feature extractor based on NMF. |
| first_indexed | 2025-11-14T17:59:44Z |
| format | Thesis |
| id | mmu-883 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T17:59:44Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-8832021-09-21T08:04:16Z http://shdl.mmu.edu.my/883/ Part-Based And Multispace Random Mapping For Face Recognition Neo, Han Foon TA Engineering (General). Civil engineering (General) In this thesis, we studied several part-based approaches for face recognition. Our objective is to reduce the dimensionality of the raw image while retaining as many salient features as possible. Non-Negative Matrix Factorization (NMF) is recently a proposed method to obtain a part-based linear representation of facial image. However, the bases learned by NMF do not display perfectly the local characteristics as there are still some non-zero weight values in the features. These values appear as noise and contribute to the degradation of the recognition performance. In this thesis, we have proposed a novel part-based feature extractor based on NMF. 2005-09 Thesis NonPeerReviewed Neo, Han Foon (2005) Part-Based And Multispace Random Mapping For Face Recognition. Masters thesis, Multimedia University. https://proxyvlib.mmu.edu.my/login?url=http://library.mmu.edu.my/library2/diglib/mmuetd/ |
| spellingShingle | TA Engineering (General). Civil engineering (General) Neo, Han Foon Part-Based And Multispace Random Mapping For Face Recognition |
| title | Part-Based And Multispace Random Mapping For Face Recognition |
| title_full | Part-Based And Multispace Random Mapping For Face Recognition |
| title_fullStr | Part-Based And Multispace Random Mapping For Face Recognition |
| title_full_unstemmed | Part-Based And Multispace Random Mapping For Face Recognition |
| title_short | Part-Based And Multispace Random Mapping For Face Recognition |
| title_sort | part-based and multispace random mapping for face recognition |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://shdl.mmu.edu.my/883/ http://shdl.mmu.edu.my/883/ |