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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...

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Główni autorzy: Khalid, Fatimah, Hassan, Noor Amjed, Madzin, Hizmawati, O.K. Rahmat, Rahmita Wirza
Format: Artykuł
Język:English
Wydane: Trans Tech Publications 2019
Dostęp online:http://psasir.upm.edu.my/id/eprint/80489/1/FACE.pdf
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spelling oai:psasir.upm.edu.my:80489 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
institution UPM IR
collection UPM IR
language English
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.
format Article
author Khalid, Fatimah
Hassan, Noor Amjed
Madzin, Hizmawati
O.K. Rahmat, Rahmita Wirza
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
author_facet Khalid, Fatimah
Hassan, Noor Amjed
Madzin, Hizmawati
O.K. Rahmat, Rahmita Wirza
author_sort Khalid, Fatimah
title 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_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_sort robust geometric skin colour face detection method under unconstrained environment of smartphone database
publisher Trans Tech Publications
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/80489/1/FACE.pdf
_version_ 1819299673455722496
score 13.4562235

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