3D Model Based Pose Invariant Face Recognition from a Single Frontal View

This paper proposes a 3D model based pose invariant face recognition method that can recognize a face of a large rotation angle from its single nearly frontal view. The proposed method achieves the goal by using an analytic-to-holistic approach and a novel algorithm for estimation of ear points. Fir...

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Detalhes bibliográficos
Autores: Chen, Qinran, Cham, Wai-kuen
Formato: artículo
Fecha de publicación:2007
País:España
Recursos:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:24577
Acesso em linha:https://ddd.uab.cat/record/24577
https://dx.doi.org/urn:doi:10.5565/rev/elcvia.134
Access Level:acceso abierto
Palavra-chave:Face Recognition
Pose Estimation
3D face Model
Single View
Reconeixement de cara
Model de cara 3D
Vista única
Reconocimiento de cara
Modelo de cara 3D
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oai_identifier_str oai:ddd.uab.cat:24577
network_acronym_str ES
network_name_str España
repository_id_str
spelling 3D Model Based Pose Invariant Face Recognition from a Single Frontal ViewChen, QinranCham, Wai-kuenFace RecognitionPose Estimation3D face ModelSingle ViewReconeixement de caraModel de cara 3DVista únicaReconocimiento de caraModelo de cara 3DThis paper proposes a 3D model based pose invariant face recognition method that can recognize a face of a large rotation angle from its single nearly frontal view. The proposed method achieves the goal by using an analytic-to-holistic approach and a novel algorithm for estimation of ear points. Firstly, the proposed method achieves facial feature detection, in which an edge map based algorithm is developed to detect the ear points. Based on the detected facial feature points 3D face models are computed and used to achieve pose estimation. Then we reconstruct the facial feature points' locations and synthesize facial feature templates in frontal view using computed face models and estimated poses. Finally, the proposed method achieves face recognition by corresponding template matching and corresponding geometric feature matching. Experimental results show that the proposed face recognition method is robust for pose variations including both seesaw rotations and sidespin rotations. 22007-01-0120072007-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/24577https://dx.doi.org/urn:doi:10.5565/rev/elcvia.134reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:245772026-06-06T12:50:31Z
dc.title.none.fl_str_mv 3D Model Based Pose Invariant Face Recognition from a Single Frontal View
title 3D Model Based Pose Invariant Face Recognition from a Single Frontal View
spellingShingle 3D Model Based Pose Invariant Face Recognition from a Single Frontal View
Chen, Qinran
Face Recognition
Pose Estimation
3D face Model
Single View
Reconeixement de cara
Model de cara 3D
Vista única
Reconocimiento de cara
Modelo de cara 3D
title_short 3D Model Based Pose Invariant Face Recognition from a Single Frontal View
title_full 3D Model Based Pose Invariant Face Recognition from a Single Frontal View
title_fullStr 3D Model Based Pose Invariant Face Recognition from a Single Frontal View
title_full_unstemmed 3D Model Based Pose Invariant Face Recognition from a Single Frontal View
title_sort 3D Model Based Pose Invariant Face Recognition from a Single Frontal View
dc.creator.none.fl_str_mv Chen, Qinran
Cham, Wai-kuen
author Chen, Qinran
author_facet Chen, Qinran
Cham, Wai-kuen
author_role author
author2 Cham, Wai-kuen
author2_role author
dc.subject.none.fl_str_mv Face Recognition
Pose Estimation
3D face Model
Single View
Reconeixement de cara
Model de cara 3D
Vista única
Reconocimiento de cara
Modelo de cara 3D
topic Face Recognition
Pose Estimation
3D face Model
Single View
Reconeixement de cara
Model de cara 3D
Vista única
Reconocimiento de cara
Modelo de cara 3D
description This paper proposes a 3D model based pose invariant face recognition method that can recognize a face of a large rotation angle from its single nearly frontal view. The proposed method achieves the goal by using an analytic-to-holistic approach and a novel algorithm for estimation of ear points. Firstly, the proposed method achieves facial feature detection, in which an edge map based algorithm is developed to detect the ear points. Based on the detected facial feature points 3D face models are computed and used to achieve pose estimation. Then we reconstruct the facial feature points' locations and synthesize facial feature templates in frontal view using computed face models and estimated poses. Finally, the proposed method achieves face recognition by corresponding template matching and corresponding geometric feature matching. Experimental results show that the proposed face recognition method is robust for pose variations including both seesaw rotations and sidespin rotations.
publishDate 2007
dc.date.none.fl_str_mv 2
2007-01-01
2007
2007-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/24577
https://dx.doi.org/urn:doi:10.5565/rev/elcvia.134
url https://ddd.uab.cat/record/24577
https://dx.doi.org/urn:doi:10.5565/rev/elcvia.134
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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