Robust Face Recognition via Multi-channel Models and Feature Selection
This thesis proposes various novel approaches to improve the performance of face recognition via using multi channels for face image representation. Methods proposed in this thesis are designed to solve different face recognition problems including Opened Mouth, Occlusions, Illumination variations,...
| Main Author: | |
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| Format: | Thesis |
| Published: |
Curtin University
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/66074 |
| _version_ | 1848761246062477312 |
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| author | Alrjebi, Mustafa M M |
| author_facet | Alrjebi, Mustafa M M |
| author_sort | Alrjebi, Mustafa M M |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This thesis proposes various novel approaches to improve the performance of face recognition via using multi channels for face image representation. Methods proposed in this thesis are designed to solve different face recognition problems including Opened Mouth, Occlusions, Illumination variations, and Pose variations. All proposed methods have achieved significant improvements over state of the art methods. |
| first_indexed | 2025-11-14T10:28:37Z |
| format | Thesis |
| id | curtin-20.500.11937-66074 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:28:37Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-660742018-04-11T03:35:36Z Robust Face Recognition via Multi-channel Models and Feature Selection Alrjebi, Mustafa M M This thesis proposes various novel approaches to improve the performance of face recognition via using multi channels for face image representation. Methods proposed in this thesis are designed to solve different face recognition problems including Opened Mouth, Occlusions, Illumination variations, and Pose variations. All proposed methods have achieved significant improvements over state of the art methods. 2017 Thesis http://hdl.handle.net/20.500.11937/66074 Curtin University fulltext |
| spellingShingle | Alrjebi, Mustafa M M Robust Face Recognition via Multi-channel Models and Feature Selection |
| title | Robust Face Recognition via Multi-channel Models and Feature Selection |
| title_full | Robust Face Recognition via Multi-channel Models and Feature Selection |
| title_fullStr | Robust Face Recognition via Multi-channel Models and Feature Selection |
| title_full_unstemmed | Robust Face Recognition via Multi-channel Models and Feature Selection |
| title_short | Robust Face Recognition via Multi-channel Models and Feature Selection |
| title_sort | robust face recognition via multi-channel models and feature selection |
| url | http://hdl.handle.net/20.500.11937/66074 |