Adaptive skin color classification technique for color-based face detection systems using integral image

Among the various features of human face, skin colour is a more powerful means of discerning face appearance. Numerous skin colour models, which model the human skin colours in different ways, have been proposed by researchers. Furthermore, there are a number of colour spaces which are adopted in sk...

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Main Authors: Tabatabaie, Zahra Sadri, O. K. Rahmat, Rahmita Wirza, Udzir, Nur Izura, Kheirkhah, Esmaeil
Format: Article
Language:English
Published: Praise Worthy Prize 2011
Online Access:http://psasir.upm.edu.my/id/eprint/22252/
http://psasir.upm.edu.my/id/eprint/22252/1/Adaptive%20skin%20color%20classification%20technique%20for%20color.pdf
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author Tabatabaie, Zahra Sadri
O. K. Rahmat, Rahmita Wirza
Udzir, Nur Izura
Kheirkhah, Esmaeil
author_facet Tabatabaie, Zahra Sadri
O. K. Rahmat, Rahmita Wirza
Udzir, Nur Izura
Kheirkhah, Esmaeil
author_sort Tabatabaie, Zahra Sadri
building UPM Institutional Repository
collection Online Access
description Among the various features of human face, skin colour is a more powerful means of discerning face appearance. Numerous skin colour models, which model the human skin colours in different ways, have been proposed by researchers. Furthermore, there are a number of colour spaces which are adopted in skin colour modelling. In particular, the colour-based segmentation is a significant step in any colour-based face detection approach which uses skin-colour models to classify an image into skin and non-skin regions. Varying illumination is one of the most frequent challenges in face detection systems. A change in the light source distribution and in the illumination level (indoor, outdoor, highlights, shadows, non-white lights) affects the appearance of an object (such as human face) in a scene and produces changes in terms of object colour and shape. An adaptive skin colour classification technique, which considerably resolves around the above mentioned problems in case of illumination conditions and shadow, has been proposed and presented in this paper. The proposed method first identifies those pixels that have illumination problem using integral image and then the pixels are adjusted using an adaptive gamma intensity correction method to rectify negative effect of illumination problems. The experiments showed that the proposed method significantly improves the process of a color-based face detection system in terms of both detection rate and accuracy.
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spelling upm-222522018-10-24T03:29:59Z http://psasir.upm.edu.my/id/eprint/22252/ Adaptive skin color classification technique for color-based face detection systems using integral image Tabatabaie, Zahra Sadri O. K. Rahmat, Rahmita Wirza Udzir, Nur Izura Kheirkhah, Esmaeil Among the various features of human face, skin colour is a more powerful means of discerning face appearance. Numerous skin colour models, which model the human skin colours in different ways, have been proposed by researchers. Furthermore, there are a number of colour spaces which are adopted in skin colour modelling. In particular, the colour-based segmentation is a significant step in any colour-based face detection approach which uses skin-colour models to classify an image into skin and non-skin regions. Varying illumination is one of the most frequent challenges in face detection systems. A change in the light source distribution and in the illumination level (indoor, outdoor, highlights, shadows, non-white lights) affects the appearance of an object (such as human face) in a scene and produces changes in terms of object colour and shape. An adaptive skin colour classification technique, which considerably resolves around the above mentioned problems in case of illumination conditions and shadow, has been proposed and presented in this paper. The proposed method first identifies those pixels that have illumination problem using integral image and then the pixels are adjusted using an adaptive gamma intensity correction method to rectify negative effect of illumination problems. The experiments showed that the proposed method significantly improves the process of a color-based face detection system in terms of both detection rate and accuracy. Praise Worthy Prize 2011-01 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/22252/1/Adaptive%20skin%20color%20classification%20technique%20for%20color.pdf Tabatabaie, Zahra Sadri and O. K. Rahmat, Rahmita Wirza and Udzir, Nur Izura and Kheirkhah, Esmaeil (2011) Adaptive skin color classification technique for color-based face detection systems using integral image. International Review on Computers and Software, 6 (1). pp. 32-39. ISSN 1828-6003; ESSN: 1828-6011 https://www.praiseworthyprize.org/latest_issues/IRECOS-latest/IRECOS_vol_6_n_1.html#Adaptive_Skin_Color_Classification_Technique_for_Color-Based_Face_Detection_Systems_using_Integral_Image
spellingShingle Tabatabaie, Zahra Sadri
O. K. Rahmat, Rahmita Wirza
Udzir, Nur Izura
Kheirkhah, Esmaeil
Adaptive skin color classification technique for color-based face detection systems using integral image
title Adaptive skin color classification technique for color-based face detection systems using integral image
title_full Adaptive skin color classification technique for color-based face detection systems using integral image
title_fullStr Adaptive skin color classification technique for color-based face detection systems using integral image
title_full_unstemmed Adaptive skin color classification technique for color-based face detection systems using integral image
title_short Adaptive skin color classification technique for color-based face detection systems using integral image
title_sort adaptive skin color classification technique for color-based face detection systems using integral image
url http://psasir.upm.edu.my/id/eprint/22252/
http://psasir.upm.edu.my/id/eprint/22252/
http://psasir.upm.edu.my/id/eprint/22252/1/Adaptive%20skin%20color%20classification%20technique%20for%20color.pdf