Face detection system based on feature-based chrominance colour information
This paper presents a novel face detection system based on feature-based chrominance colour information from an image containing one face in indoor environment with non-uniform background. The face detection algorithm is based on the adapted chain code (ACC), eye detection and modified golden ratio...
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| Format: | Book Section |
| Language: | en |
| Published: |
IEEE
2004
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| Online Access: | http://eprints.utm.my/2045/1/Chan2004_FaceDetectionSystem.pdf http://eprints.utm.my/2045/ http://ieeexplore.ieee.org/document/1323977/ |
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| _version_ | 1845470600770879488 |
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| author | Chan, Y. H. Syed Abu Bakar, Syed Abdul Rahman |
| author_facet | Chan, Y. H. Syed Abu Bakar, Syed Abdul Rahman |
| author_sort | Chan, Y. H. |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents a novel face detection system based on feature-based chrominance colour information from an image containing one face in indoor environment with non-uniform background. The face detection algorithm is based on the adapted chain code (ACC), eye detection and modified golden ratio (MGR). ACC is proposed to obtain a face boundary. MGR attempts to extract part of a face that includes eyes, eyebrows, nose and mouth, based on the detected eyes' positions. Experimental results show that the proposed algorithm is able to detect a face of near frontal with high accuracy. The database consists of faces with and without spectacles, wearing headscarf and without wearing headscarf. |
| format | Book Section |
| id | my.utm.eprints-2045 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2004 |
| publisher | IEEE |
| record_format | eprints |
| spelling | my.utm.eprints-20452017-09-06T08:56:39Z http://eprints.utm.my/2045/ Face detection system based on feature-based chrominance colour information Chan, Y. H. Syed Abu Bakar, Syed Abdul Rahman T Technology (General) This paper presents a novel face detection system based on feature-based chrominance colour information from an image containing one face in indoor environment with non-uniform background. The face detection algorithm is based on the adapted chain code (ACC), eye detection and modified golden ratio (MGR). ACC is proposed to obtain a face boundary. MGR attempts to extract part of a face that includes eyes, eyebrows, nose and mouth, based on the detected eyes' positions. Experimental results show that the proposed algorithm is able to detect a face of near frontal with high accuracy. The database consists of faces with and without spectacles, wearing headscarf and without wearing headscarf. IEEE 2004-07 Book Section PeerReviewed application/pdf en http://eprints.utm.my/2045/1/Chan2004_FaceDetectionSystem.pdf Chan, Y. H. and Syed Abu Bakar, Syed Abdul Rahman (2004) Face detection system based on feature-based chrominance colour information. In: Proceedings International Conference On Computer Graphics, Imaging And Visualization. International Conference on Computer Graphics Imaging and Visualization . IEEE, USA, pp. 153-158. ISBN ISBN: 0769521789; 978-076952178-7 http://ieeexplore.ieee.org/document/1323977/ 10.1109/CGIV.2004.1323977 |
| spellingShingle | T Technology (General) Chan, Y. H. Syed Abu Bakar, Syed Abdul Rahman Face detection system based on feature-based chrominance colour information |
| title | Face detection system based on feature-based chrominance colour information |
| title_full | Face detection system based on feature-based chrominance colour information |
| title_fullStr | Face detection system based on feature-based chrominance colour information |
| title_full_unstemmed | Face detection system based on feature-based chrominance colour information |
| title_short | Face detection system based on feature-based chrominance colour information |
| title_sort | face detection system based on feature-based chrominance colour information |
| topic | T Technology (General) |
| url | http://eprints.utm.my/2045/1/Chan2004_FaceDetectionSystem.pdf http://eprints.utm.my/2045/ http://ieeexplore.ieee.org/document/1323977/ |
| url_provider | http://eprints.utm.my/ |