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A summary of literature review: face recognition

Approach of face recognition aims to detect faces in still image and sequence image from video have many method such as local, global, and hybrid approach. The main problem of face recognition are intensity, illumination, pose, difficult to controlling and large occlusion. In 3D capture creates larg...

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Main Authors: Mohamad, Dzulkifli, Meethongjan, Kittikhun
Format: Conference or Workshop Item
Published: 2007
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/25138/
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spelling my.utm.251382017-08-08T00:03:59Z http://eprints.utm.my/id/eprint/25138/ A summary of literature review: face recognition Mohamad, Dzulkifli Meethongjan, Kittikhun Q Science (General) Approach of face recognition aims to detect faces in still image and sequence image from video have many method such as local, global, and hybrid approach. The main problem of face recognition are intensity, illumination, pose, difficult to controlling and large occlusion. In 3D capture creates larger data files per subject which applies significant storage requirements, slow processing, most new devices can be capture in 3D. This is the problem for our future work that want to solving and create accuracy gain for widely accept in 3D face recognition system. 2007 Conference or Workshop Item PeerReviewed Mohamad, Dzulkifli and Meethongjan, Kittikhun (2007) A summary of literature review: face recognition. In: Postgraduate Annual Research Seminar (PARS’ 07). , 3-4 July, 2007, UTM, Johor Bahru34.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science (General)
spellingShingle Q Science (General)
Mohamad, Dzulkifli
Meethongjan, Kittikhun
A summary of literature review: face recognition
description Approach of face recognition aims to detect faces in still image and sequence image from video have many method such as local, global, and hybrid approach. The main problem of face recognition are intensity, illumination, pose, difficult to controlling and large occlusion. In 3D capture creates larger data files per subject which applies significant storage requirements, slow processing, most new devices can be capture in 3D. This is the problem for our future work that want to solving and create accuracy gain for widely accept in 3D face recognition system.
format Conference or Workshop Item
author Mohamad, Dzulkifli
Meethongjan, Kittikhun
author_facet Mohamad, Dzulkifli
Meethongjan, Kittikhun
author_sort Mohamad, Dzulkifli
title A summary of literature review: face recognition
title_short A summary of literature review: face recognition
title_full A summary of literature review: face recognition
title_fullStr A summary of literature review: face recognition
title_full_unstemmed A summary of literature review: face recognition
title_sort summary of literature review: face recognition
publishDate 2007
url http://eprints.utm.my/id/eprint/25138/
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score 13.211869

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