Human face detection from color images: preliminary result

Images containing faces are essential to intelligent vision-based human computer interaction where it is utilized in various applications (e.g. face recognition, face tracking, pose estimation, expression estimation, etc). This paper aims to provide preliminary investigation on human face detection...

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Bibliographic Details
Main Authors: Chuan, T. S., Setan, Halim, Majid, Zulkepli
Format: Conference or Workshop Item
Language:English
Published: 2004
Subjects:
Online Access:http://eprints.utm.my/1366/1/human_face_detection.pdf
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author Chuan, T. S.
Setan, Halim
Majid, Zulkepli
author_facet Chuan, T. S.
Setan, Halim
Majid, Zulkepli
author_sort Chuan, T. S.
collection ePrints
description Images containing faces are essential to intelligent vision-based human computer interaction where it is utilized in various applications (e.g. face recognition, face tracking, pose estimation, expression estimation, etc). This paper aims to provide preliminary investigation on human face detection from a color image. A successful and robust algorithm should capable in identifying all facial region within a given images regardless of its position, orientation and lighting conditions. Such problems are quite challenging because the faces are non-rigid and have a high degree of variability in size, shape, color and texture. Numerous approaches have been developed and proposed to localize facial region in a single image. Our study utilized YCrCb color space method in the detection of human face from a color image with a pre-determine chrominance and luminance parameters. The result obtained illustrates the feasibility of this approach where it exhibits high and accurate segmentation rate though possess minor flaws.
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spelling utm.eprints-13662017-08-30T08:20:16Z http://eprints.utm.my/1366/ Human face detection from color images: preliminary result Chuan, T. S. Setan, Halim Majid, Zulkepli TA Engineering (General). Civil engineering (General) Images containing faces are essential to intelligent vision-based human computer interaction where it is utilized in various applications (e.g. face recognition, face tracking, pose estimation, expression estimation, etc). This paper aims to provide preliminary investigation on human face detection from a color image. A successful and robust algorithm should capable in identifying all facial region within a given images regardless of its position, orientation and lighting conditions. Such problems are quite challenging because the faces are non-rigid and have a high degree of variability in size, shape, color and texture. Numerous approaches have been developed and proposed to localize facial region in a single image. Our study utilized YCrCb color space method in the detection of human face from a color image with a pre-determine chrominance and luminance parameters. The result obtained illustrates the feasibility of this approach where it exhibits high and accurate segmentation rate though possess minor flaws. 2004-09 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/1366/1/human_face_detection.pdf Chuan, T. S. and Setan, Halim and Majid, Zulkepli (2004) Human face detection from color images: preliminary result. In: International Symposium and Exhibition on Geoinformation (ISG) 2004, 21-23 Sept 2004, Kuala Lumpur, Malaysia.
spellingShingle TA Engineering (General). Civil engineering (General)
Chuan, T. S.
Setan, Halim
Majid, Zulkepli
Human face detection from color images: preliminary result
title Human face detection from color images: preliminary result
title_full Human face detection from color images: preliminary result
title_fullStr Human face detection from color images: preliminary result
title_full_unstemmed Human face detection from color images: preliminary result
title_short Human face detection from color images: preliminary result
title_sort human face detection from color images preliminary result
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utm.my/1366/1/human_face_detection.pdf
work_keys_str_mv AT chuants humanfacedetectionfromcolorimagespreliminaryresult
AT setanhalim humanfacedetectionfromcolorimagespreliminaryresult
AT majidzulkepli humanfacedetectionfromcolorimagespreliminaryresult