Face Image Retrieval with Landmark Detection and Semantic Concepts Extraction
This thesis proposes various novel approaches for improving the performances of automatic facial landmarks detection system based on the concept of pictorial tree structure model. Furthermore, a robust glasses landmark detection system is also proposed as glasses are commonly used. These proposed ap...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/54081 |
| _version_ | 1848759296083361792 |
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| author | Liang, Antoni |
| author_facet | Liang, Antoni |
| author_sort | Liang, Antoni |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This thesis proposes various novel approaches for improving the performances of automatic facial landmarks detection system based on the concept of pictorial tree structure model. Furthermore, a robust glasses landmark detection system is also proposed as glasses are commonly used. These proposed approaches are employed to develop an automatic semantic based face images retrieval system. The experiment results demonstrate significant improvements of all the proposed approaches towards accuracy and efficiency. |
| first_indexed | 2025-11-14T09:57:37Z |
| format | Thesis |
| id | curtin-20.500.11937-54081 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:57:37Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-540812017-07-04T04:18:38Z Face Image Retrieval with Landmark Detection and Semantic Concepts Extraction Liang, Antoni This thesis proposes various novel approaches for improving the performances of automatic facial landmarks detection system based on the concept of pictorial tree structure model. Furthermore, a robust glasses landmark detection system is also proposed as glasses are commonly used. These proposed approaches are employed to develop an automatic semantic based face images retrieval system. The experiment results demonstrate significant improvements of all the proposed approaches towards accuracy and efficiency. 2017 Thesis http://hdl.handle.net/20.500.11937/54081 Curtin University fulltext |
| spellingShingle | Liang, Antoni Face Image Retrieval with Landmark Detection and Semantic Concepts Extraction |
| title | Face Image Retrieval with Landmark Detection and Semantic Concepts Extraction |
| title_full | Face Image Retrieval with Landmark Detection and Semantic Concepts Extraction |
| title_fullStr | Face Image Retrieval with Landmark Detection and Semantic Concepts Extraction |
| title_full_unstemmed | Face Image Retrieval with Landmark Detection and Semantic Concepts Extraction |
| title_short | Face Image Retrieval with Landmark Detection and Semantic Concepts Extraction |
| title_sort | face image retrieval with landmark detection and semantic concepts extraction |
| url | http://hdl.handle.net/20.500.11937/54081 |