A robust geometric skin colour face detection method under unconstrained environment of smartphone database
Face detection is the primary task in building a vision-based human-computer interaction system and in special applications such as face recognition, face tracking, face identification, expression recognition and also content-based image retrieval. A potent face detection system must be able to dete...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Trans Tech Publications
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/80489/ http://psasir.upm.edu.my/id/eprint/80489/1/FACE.pdf |
| _version_ | 1848858910173167616 |
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| author | Khalid, Fatimah Hassan, Noor Amjed Madzin, Hizmawati O.K. Rahmat, Rahmita Wirza |
| author_facet | Khalid, Fatimah Hassan, Noor Amjed Madzin, Hizmawati O.K. Rahmat, Rahmita Wirza |
| author_sort | Khalid, Fatimah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Face detection is the primary task in building a vision-based human-computer interaction system and in special applications such as face recognition, face tracking, face identification, expression recognition and also content-based image retrieval. A potent face detection system must be able to detect faces irrespective of illuminations, shadows, cluttered backgrounds, orientation and facial expressions. In previous literature, many approaches for face detection had been proposed. However, face detection in outdoor images with uncontrolled illumination and images with complex background are still a serious problem. Hence, in this paper, we had proposed a Geometric Skin Colour (GSC) method for detecting faces accurately in real world image, under capturing conditions of both indoor and outdoor, and with a variety of illuminations and also in cluttered backgrounds. The selected method was evaluated on two different face video smartphone databases and the obtained results proved the out performance of the proposed method under the unconstrained environment of these databases. |
| first_indexed | 2025-11-15T12:20:57Z |
| format | Article |
| id | upm-80489 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:20:57Z |
| publishDate | 2019 |
| publisher | Trans Tech Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-804892020-11-06T19:06:44Z http://psasir.upm.edu.my/id/eprint/80489/ A robust geometric skin colour face detection method under unconstrained environment of smartphone database Khalid, Fatimah Hassan, Noor Amjed Madzin, Hizmawati O.K. Rahmat, Rahmita Wirza Face detection is the primary task in building a vision-based human-computer interaction system and in special applications such as face recognition, face tracking, face identification, expression recognition and also content-based image retrieval. A potent face detection system must be able to detect faces irrespective of illuminations, shadows, cluttered backgrounds, orientation and facial expressions. In previous literature, many approaches for face detection had been proposed. However, face detection in outdoor images with uncontrolled illumination and images with complex background are still a serious problem. Hence, in this paper, we had proposed a Geometric Skin Colour (GSC) method for detecting faces accurately in real world image, under capturing conditions of both indoor and outdoor, and with a variety of illuminations and also in cluttered backgrounds. The selected method was evaluated on two different face video smartphone databases and the obtained results proved the out performance of the proposed method under the unconstrained environment of these databases. Trans Tech Publications 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/80489/1/FACE.pdf Khalid, Fatimah and Hassan, Noor Amjed and Madzin, Hizmawati and O.K. Rahmat, Rahmita Wirza (2019) A robust geometric skin colour face detection method under unconstrained environment of smartphone database. Applied Mechanics and Materials, 892. pp. 31-37. ISSN 1660-9336 https://www.scientific.net/AMM.892.31 10.4028/www.scientific.net/AMM.892.31 |
| spellingShingle | Khalid, Fatimah Hassan, Noor Amjed Madzin, Hizmawati O.K. Rahmat, Rahmita Wirza A robust geometric skin colour face detection method under unconstrained environment of smartphone database |
| title | A robust geometric skin colour face detection method under unconstrained environment of smartphone database |
| title_full | A robust geometric skin colour face detection method under unconstrained environment of smartphone database |
| title_fullStr | A robust geometric skin colour face detection method under unconstrained environment of smartphone database |
| title_full_unstemmed | A robust geometric skin colour face detection method under unconstrained environment of smartphone database |
| title_short | A robust geometric skin colour face detection method under unconstrained environment of smartphone database |
| title_sort | robust geometric skin colour face detection method under unconstrained environment of smartphone database |
| url | http://psasir.upm.edu.my/id/eprint/80489/ http://psasir.upm.edu.my/id/eprint/80489/ http://psasir.upm.edu.my/id/eprint/80489/ http://psasir.upm.edu.my/id/eprint/80489/1/FACE.pdf |