FEATURE-BASED FACE DETECTION: A SURVEY
Human and computer vision has a vital role in intelligent interaction with computer, face recognition is one of the subjects that have a wide area in researches, a big effort has been exerted in last decades for face recognition, face detection, face tracking, as yet new algorithms for building full...
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Format: | Article |
Language: | Arabic |
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University of Information Technology and Communications
2018-06-01
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Series: | Iraqi Journal for Computers and Informatics |
Subjects: | |
Online Access: | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/109 |
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author | Abbas Albakri Safaa Almamory Hadeel Alfartosy |
author_facet | Abbas Albakri Safaa Almamory Hadeel Alfartosy |
author_sort | Abbas Albakri |
collection | DOAJ |
description | Human and computer vision has a vital role in intelligent interaction with computer, face recognition is one of the subjects that have a wide area in researches, a big effort has been exerted in last decades for face recognition, face detection, face tracking, as yet new algorithms for building fully automated system are required, these algorithms should be robust and efficient. The first step of any face recognition system is face detection, the goal of face detection is the extraction of face region within image, taking into consideration lightning, orientation and pose variation, whenever this step accurate the result of face recognition will be better, this paper introduce a survey of techniques and methods of feature based face detection. |
first_indexed | 2024-03-11T15:59:39Z |
format | Article |
id | doaj.art-2c552b571ace40ae92b288ddae34181a |
institution | Directory Open Access Journal |
issn | 2313-190X 2520-4912 |
language | Arabic |
last_indexed | 2024-03-11T15:59:39Z |
publishDate | 2018-06-01 |
publisher | University of Information Technology and Communications |
record_format | Article |
series | Iraqi Journal for Computers and Informatics |
spelling | doaj.art-2c552b571ace40ae92b288ddae34181a2023-10-25T07:52:40ZaraUniversity of Information Technology and CommunicationsIraqi Journal for Computers and Informatics2313-190X2520-49122018-06-01441182310.25195/ijci.v44i1.10987FEATURE-BASED FACE DETECTION: A SURVEYAbbas Albakri0Safaa Almamory1Hadeel Alfartosy2University of Information Technology and CommunicationsUniversity of Information Technology and CommunicationsUniversity of Information Technology and CommunicationsHuman and computer vision has a vital role in intelligent interaction with computer, face recognition is one of the subjects that have a wide area in researches, a big effort has been exerted in last decades for face recognition, face detection, face tracking, as yet new algorithms for building fully automated system are required, these algorithms should be robust and efficient. The first step of any face recognition system is face detection, the goal of face detection is the extraction of face region within image, taking into consideration lightning, orientation and pose variation, whenever this step accurate the result of face recognition will be better, this paper introduce a survey of techniques and methods of feature based face detection.https://ijci.uoitc.edu.iq/index.php/ijci/article/view/109face recognition, face detection, asm, viola-jones |
spellingShingle | Abbas Albakri Safaa Almamory Hadeel Alfartosy FEATURE-BASED FACE DETECTION: A SURVEY Iraqi Journal for Computers and Informatics face recognition, face detection, asm, viola-jones |
title | FEATURE-BASED FACE DETECTION: A SURVEY |
title_full | FEATURE-BASED FACE DETECTION: A SURVEY |
title_fullStr | FEATURE-BASED FACE DETECTION: A SURVEY |
title_full_unstemmed | FEATURE-BASED FACE DETECTION: A SURVEY |
title_short | FEATURE-BASED FACE DETECTION: A SURVEY |
title_sort | feature based face detection a survey |
topic | face recognition, face detection, asm, viola-jones |
url | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/109 |
work_keys_str_mv | AT abbasalbakri featurebasedfacedetectionasurvey AT safaaalmamory featurebasedfacedetectionasurvey AT hadeelalfartosy featurebasedfacedetectionasurvey |