Discriminant feature extraction and selection for person-independent facial expression recognition
This thesis is to develop new facial expression recognition techniques based on 2D/3D images or videos, with the purpose to improve the recognition efficiency and accuracy of the current state-of-art. A fully automatic facial expression recognition system is designed, including real-time landmark de...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Curtin University
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/2159 |
| _version_ | 1848743875764551680 |
|---|---|
| author | Xue, Mingliang |
| author_facet | Xue, Mingliang |
| author_sort | Xue, Mingliang |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This thesis is to develop new facial expression recognition techniques based on 2D/3D images or videos, with the purpose to improve the recognition efficiency and accuracy of the current state-of-art. A fully automatic facial expression recognition system is designed, including real-time landmark detection, spatio-temporal feature extraction, hierarchical classification, and most discriminant facial regions identification for expression recognition. In general, the proposed system improved the facial expression recognition state-of-art. |
| first_indexed | 2025-11-14T05:52:31Z |
| format | Thesis |
| id | curtin-20.500.11937-2159 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:52:31Z |
| publishDate | 2015 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-21592017-02-20T06:37:29Z Discriminant feature extraction and selection for person-independent facial expression recognition Xue, Mingliang This thesis is to develop new facial expression recognition techniques based on 2D/3D images or videos, with the purpose to improve the recognition efficiency and accuracy of the current state-of-art. A fully automatic facial expression recognition system is designed, including real-time landmark detection, spatio-temporal feature extraction, hierarchical classification, and most discriminant facial regions identification for expression recognition. In general, the proposed system improved the facial expression recognition state-of-art. 2015 Thesis http://hdl.handle.net/20.500.11937/2159 en Curtin University fulltext |
| spellingShingle | Xue, Mingliang Discriminant feature extraction and selection for person-independent facial expression recognition |
| title | Discriminant feature extraction and selection for person-independent facial expression recognition |
| title_full | Discriminant feature extraction and selection for person-independent facial expression recognition |
| title_fullStr | Discriminant feature extraction and selection for person-independent facial expression recognition |
| title_full_unstemmed | Discriminant feature extraction and selection for person-independent facial expression recognition |
| title_short | Discriminant feature extraction and selection for person-independent facial expression recognition |
| title_sort | discriminant feature extraction and selection for person-independent facial expression recognition |
| url | http://hdl.handle.net/20.500.11937/2159 |