A robust real-time face tracking using head pose estimation for a markerless AR system
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFBA |
Texto Completo: | http://repositorio.ufba.br/ri/handle/ri/21062 |
Resumo: | In this paper we present an extension to the Kinect- Fusion algorithm that allows a robust real-time face tracking. This is achieved altering the original algorithm such that when the tracking algorithm fails, it uses a head pose estimation to give an initial guess to the Iterative Closest Point (ICP) algorithm. We show that this approach can handle more face pose changes and variations than the original KinectFusion's tracking. |
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Macedo, Márcio Cerqueira de FariasApolinário Júnior, Antonio LopesSouza, Antonio Carlos dos SantosMacedo, Márcio Cerqueira de FariasApolinário Júnior, Antonio LopesSouza, Antonio Carlos dos Santos2016-12-14T12:52:53Z2016-12-14T12:52:53Z2013-11-07978-0-7695-5001-5http://repositorio.ufba.br/ri/handle/ri/21062In this paper we present an extension to the Kinect- Fusion algorithm that allows a robust real-time face tracking. This is achieved altering the original algorithm such that when the tracking algorithm fails, it uses a head pose estimation to give an initial guess to the Iterative Closest Point (ICP) algorithm. We show that this approach can handle more face pose changes and variations than the original KinectFusion's tracking.Submitted by Márcio Macedo (marciocfmacedo@hotmail.com) on 2016-12-13T16:28:28Z No. of bitstreams: 1 A Robust Real-Time Face Tracking using Head Pose Estimation for a Markerless AR System.pdf: 332421 bytes, checksum: 25afae0327ad662ef3928b6e6a7e6d8c (MD5)Approved for entry into archive by Vanessa Reis (vanessa.jamile@ufba.br) on 2016-12-14T12:52:53Z (GMT) No. of bitstreams: 1 A Robust Real-Time Face Tracking using Head Pose Estimation for a Markerless AR System.pdf: 332421 bytes, checksum: 25afae0327ad662ef3928b6e6a7e6d8c (MD5)Made available in DSpace on 2016-12-14T12:52:53Z (GMT). No. of bitstreams: 1 A Robust Real-Time Face Tracking using Head Pose Estimation for a Markerless AR System.pdf: 332421 bytes, checksum: 25afae0327ad662ef3928b6e6a7e6d8c (MD5) Previous issue date: 2013-11-07Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Cuiaba, BrazilIEEEBrasilhttp://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6655785reponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAAugmented realityHead pose estimationFace trackingA robust real-time face tracking using head pose estimation for a markerless AR systeminfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccessengORIGINALA Robust Real-Time Face Tracking using Head Pose Estimation for a Markerless AR System.pdfA Robust Real-Time Face Tracking using Head Pose Estimation for a Markerless AR System.pdfapplication/pdf332421https://repositorio.ufba.br/bitstream/ri/21062/1/A%20Robust%20Real-Time%20Face%20Tracking%20using%20Head%20Pose%20Estimation%20for%20a%20Markerless%20AR%20System.pdf25afae0327ad662ef3928b6e6a7e6d8cMD51LICENSElicense.txtlicense.txttext/plain1345https://repositorio.ufba.br/bitstream/ri/21062/2/license.txtff6eaa8b858ea317fded99f125f5fcd0MD52TEXTA Robust Real-Time Face Tracking using Head Pose Estimation for a Markerless AR System.pdf.txtA Robust Real-Time Face Tracking using Head Pose Estimation for a Markerless AR System.pdf.txtExtracted texttext/plain19894https://repositorio.ufba.br/bitstream/ri/21062/3/A%20Robust%20Real-Time%20Face%20Tracking%20using%20Head%20Pose%20Estimation%20for%20a%20Markerless%20AR%20System.pdf.txtf232b73aa8f23e990147258a52293ee9MD53ri/210622022-08-08 12:00:19.6oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-08-08T15:00:19Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false |
dc.title.pt_BR.fl_str_mv |
A robust real-time face tracking using head pose estimation for a markerless AR system |
title |
A robust real-time face tracking using head pose estimation for a markerless AR system |
spellingShingle |
A robust real-time face tracking using head pose estimation for a markerless AR system Macedo, Márcio Cerqueira de Farias Augmented reality Head pose estimation Face tracking |
title_short |
A robust real-time face tracking using head pose estimation for a markerless AR system |
title_full |
A robust real-time face tracking using head pose estimation for a markerless AR system |
title_fullStr |
A robust real-time face tracking using head pose estimation for a markerless AR system |
title_full_unstemmed |
A robust real-time face tracking using head pose estimation for a markerless AR system |
title_sort |
A robust real-time face tracking using head pose estimation for a markerless AR system |
author |
Macedo, Márcio Cerqueira de Farias |
author_facet |
Macedo, Márcio Cerqueira de Farias Apolinário Júnior, Antonio Lopes Souza, Antonio Carlos dos Santos |
author_role |
author |
author2 |
Apolinário Júnior, Antonio Lopes Souza, Antonio Carlos dos Santos |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Macedo, Márcio Cerqueira de Farias Apolinário Júnior, Antonio Lopes Souza, Antonio Carlos dos Santos Macedo, Márcio Cerqueira de Farias Apolinário Júnior, Antonio Lopes Souza, Antonio Carlos dos Santos |
dc.subject.por.fl_str_mv |
Augmented reality Head pose estimation Face tracking |
topic |
Augmented reality Head pose estimation Face tracking |
description |
In this paper we present an extension to the Kinect- Fusion algorithm that allows a robust real-time face tracking. This is achieved altering the original algorithm such that when the tracking algorithm fails, it uses a head pose estimation to give an initial guess to the Iterative Closest Point (ICP) algorithm. We show that this approach can handle more face pose changes and variations than the original KinectFusion's tracking. |
publishDate |
2013 |
dc.date.issued.fl_str_mv |
2013-11-07 |
dc.date.accessioned.fl_str_mv |
2016-12-14T12:52:53Z |
dc.date.available.fl_str_mv |
2016-12-14T12:52:53Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufba.br/ri/handle/ri/21062 |
dc.identifier.isbn.none.fl_str_mv |
978-0-7695-5001-5 |
identifier_str_mv |
978-0-7695-5001-5 |
url |
http://repositorio.ufba.br/ri/handle/ri/21062 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
IEEE |
dc.publisher.country.fl_str_mv |
Brasil |
publisher.none.fl_str_mv |
IEEE |
dc.source.pt_BR.fl_str_mv |
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6655785 |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFBA instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
instname_str |
Universidade Federal da Bahia (UFBA) |
instacron_str |
UFBA |
institution |
UFBA |
reponame_str |
Repositório Institucional da UFBA |
collection |
Repositório Institucional da UFBA |
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