Subspace analysis for face recognition
181 p.
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2010
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| Online Access: | https://hdl.handle.net/10356/39102 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-391022023-07-04T17:04:32Z Subspace analysis for face recognition Kong, Hui Ronda Venkateswarlu Teoh Eam Khwang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 181 p. This thesis presents a research project on face recognition via subspace analysis algorithms. Although face recognition has been actively studied over the past decade, the state-of-the-art recognition systems cannot yield satisfying performance due to small number of training samples available and image variations caused illumination, pose and others. In this thesis, we propose novel subspace analysis approaches that focus on how to recognize human faces with only few training samples. DOCTOR OF PHILOSOPHY (EEE) 2010-05-21T04:43:31Z 2010-05-21T04:43:31Z 2006 2006 Thesis Kong, H. (2006). Subspace analysis for face recognition. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/39102 10.32657/10356/39102 application/pdf |
| institution |
Nanyang Technological University |
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NTU Library |
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Asia |
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Singapore Singapore |
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NTU Library |
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DR-NTU |
| topic |
DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Kong, Hui Subspace analysis for face recognition |
| description |
181 p. |
| author2 |
Ronda Venkateswarlu |
| author_facet |
Ronda Venkateswarlu Kong, Hui |
| format |
Theses and Dissertations |
| author |
Kong, Hui |
| author_sort |
Kong, Hui |
| title |
Subspace analysis for face recognition |
| title_short |
Subspace analysis for face recognition |
| title_full |
Subspace analysis for face recognition |
| title_fullStr |
Subspace analysis for face recognition |
| title_full_unstemmed |
Subspace analysis for face recognition |
| title_sort |
subspace analysis for face recognition |
| publishDate |
2010 |
| url |
https://hdl.handle.net/10356/39102 |
| _version_ |
1772826672312090624 |