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You searched for subject:(3D face landmarking). Showing records 1 – 4 of 4 total matches.

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University of Bath

1. Emambakhsh, Mehryar. Using the 3D shape of the nose for biometric authentication.

Degree: PhD, 2014, University of Bath

 This thesis is dedicated to exploring the potential of the 3D shape of the nasal region for face recognition. In comparison to other parts of… (more)

Subjects/Keywords: 006.3; Biometrics; 3D face recognition; Face landmarking; Classification; Alignment; Denoising; nasal region

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Emambakhsh, M. (2014). Using the 3D shape of the nose for biometric authentication. (Doctoral Dissertation). University of Bath. Retrieved from https://researchportal.bath.ac.uk/en/studentthesis/using-the-3d-shape-of-the-nose-for-biometric-authentication(72fb721d-74fc-410c-a814-37b3263209ac).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665386

Chicago Manual of Style (16th Edition):

Emambakhsh, Mehryar. “Using the 3D shape of the nose for biometric authentication.” 2014. Doctoral Dissertation, University of Bath. Accessed January 19, 2020. https://researchportal.bath.ac.uk/en/studentthesis/using-the-3d-shape-of-the-nose-for-biometric-authentication(72fb721d-74fc-410c-a814-37b3263209ac).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665386.

MLA Handbook (7th Edition):

Emambakhsh, Mehryar. “Using the 3D shape of the nose for biometric authentication.” 2014. Web. 19 Jan 2020.

Vancouver:

Emambakhsh M. Using the 3D shape of the nose for biometric authentication. [Internet] [Doctoral dissertation]. University of Bath; 2014. [cited 2020 Jan 19]. Available from: https://researchportal.bath.ac.uk/en/studentthesis/using-the-3d-shape-of-the-nose-for-biometric-authentication(72fb721d-74fc-410c-a814-37b3263209ac).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665386.

Council of Science Editors:

Emambakhsh M. Using the 3D shape of the nose for biometric authentication. [Doctoral Dissertation]. University of Bath; 2014. Available from: https://researchportal.bath.ac.uk/en/studentthesis/using-the-3d-shape-of-the-nose-for-biometric-authentication(72fb721d-74fc-410c-a814-37b3263209ac).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665386

2. Szeptycki, Przemyslaw. Processing and analysis of 2.5D face models for non-rigid mapping based face recognition using differential geometry tools : Traitement et analyse des modèles 2.5 de visage utilisant les outils de la géométrie différentielle pour la reconnaissance faciale basée sur l'appariement non rigide.

Degree: Docteur es, Informatique, 2011, Ecully, Ecole centrale de Lyon

 Ce travail de thèse concerne l’analyse de surfaces faciales en 3D, ainsi que leur traitement, dans le récent cadre de la modalité de reconnaissance de… (more)

Subjects/Keywords: Landmarking de visages 3D; Reconnaissance de visage 3D; Classification de courbures; Appariement conformal; 3D face landmarking; 3D face recognition; Curvatures classification; Conformal mapping

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Szeptycki, P. (2011). Processing and analysis of 2.5D face models for non-rigid mapping based face recognition using differential geometry tools : Traitement et analyse des modèles 2.5 de visage utilisant les outils de la géométrie différentielle pour la reconnaissance faciale basée sur l'appariement non rigide. (Doctoral Dissertation). Ecully, Ecole centrale de Lyon. Retrieved from http://www.theses.fr/2011ECDL0020

Chicago Manual of Style (16th Edition):

Szeptycki, Przemyslaw. “Processing and analysis of 2.5D face models for non-rigid mapping based face recognition using differential geometry tools : Traitement et analyse des modèles 2.5 de visage utilisant les outils de la géométrie différentielle pour la reconnaissance faciale basée sur l'appariement non rigide.” 2011. Doctoral Dissertation, Ecully, Ecole centrale de Lyon. Accessed January 19, 2020. http://www.theses.fr/2011ECDL0020.

MLA Handbook (7th Edition):

Szeptycki, Przemyslaw. “Processing and analysis of 2.5D face models for non-rigid mapping based face recognition using differential geometry tools : Traitement et analyse des modèles 2.5 de visage utilisant les outils de la géométrie différentielle pour la reconnaissance faciale basée sur l'appariement non rigide.” 2011. Web. 19 Jan 2020.

Vancouver:

Szeptycki P. Processing and analysis of 2.5D face models for non-rigid mapping based face recognition using differential geometry tools : Traitement et analyse des modèles 2.5 de visage utilisant les outils de la géométrie différentielle pour la reconnaissance faciale basée sur l'appariement non rigide. [Internet] [Doctoral dissertation]. Ecully, Ecole centrale de Lyon; 2011. [cited 2020 Jan 19]. Available from: http://www.theses.fr/2011ECDL0020.

Council of Science Editors:

Szeptycki P. Processing and analysis of 2.5D face models for non-rigid mapping based face recognition using differential geometry tools : Traitement et analyse des modèles 2.5 de visage utilisant les outils de la géométrie différentielle pour la reconnaissance faciale basée sur l'appariement non rigide. [Doctoral Dissertation]. Ecully, Ecole centrale de Lyon; 2011. Available from: http://www.theses.fr/2011ECDL0020

3. Gao, Jiangning. 3D face recognition using multicomponent feature extraction from the nasal region and its environs.

Degree: PhD, 2016, University of Bath

 This thesis is dedicated to extracting expression robust features for 3D face recognition. The use of 3D imaging enables the extraction of discriminative features that… (more)

Subjects/Keywords: 006.4; 3D Face Recognition; Biometrics; Face Landmarking; Classification; Nasal Region

…breakdown of a typical 3D face recognition algorithm .................................. 17 Figure… …2.4: Different types of noise in a sample 3D face capture from FRGC database: (a)… …38 Figure 3.1: Classification criteria for 3D face databases… …50 Figure 3.4: An illustration of 3D face cropping: (a) and (c) show… …28 Table 3.1: Some characteristics of 13 widely used and publically available 3D face… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gao, J. (2016). 3D face recognition using multicomponent feature extraction from the nasal region and its environs. (Doctoral Dissertation). University of Bath. Retrieved from https://researchportal.bath.ac.uk/en/studentthesis/3d-face-recognition-using-multicomponent-feature-extraction-from-the-nasal-region-and-its-environs(7a3bfddb-863d-4303-8ed9-3103523dbc86).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707585

Chicago Manual of Style (16th Edition):

Gao, Jiangning. “3D face recognition using multicomponent feature extraction from the nasal region and its environs.” 2016. Doctoral Dissertation, University of Bath. Accessed January 19, 2020. https://researchportal.bath.ac.uk/en/studentthesis/3d-face-recognition-using-multicomponent-feature-extraction-from-the-nasal-region-and-its-environs(7a3bfddb-863d-4303-8ed9-3103523dbc86).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707585.

MLA Handbook (7th Edition):

Gao, Jiangning. “3D face recognition using multicomponent feature extraction from the nasal region and its environs.” 2016. Web. 19 Jan 2020.

Vancouver:

Gao J. 3D face recognition using multicomponent feature extraction from the nasal region and its environs. [Internet] [Doctoral dissertation]. University of Bath; 2016. [cited 2020 Jan 19]. Available from: https://researchportal.bath.ac.uk/en/studentthesis/3d-face-recognition-using-multicomponent-feature-extraction-from-the-nasal-region-and-its-environs(7a3bfddb-863d-4303-8ed9-3103523dbc86).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707585.

Council of Science Editors:

Gao J. 3D face recognition using multicomponent feature extraction from the nasal region and its environs. [Doctoral Dissertation]. University of Bath; 2016. Available from: https://researchportal.bath.ac.uk/en/studentthesis/3d-face-recognition-using-multicomponent-feature-extraction-from-the-nasal-region-and-its-environs(7a3bfddb-863d-4303-8ed9-3103523dbc86).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707585

4. Zhao, Xi. 3D face analysis : landmarking, expression recognition and beyond : Reconnaissance de l'expression du visage.

Degree: Docteur es, Informatique et Information pour la Société, 2010, Ecully, Ecole centrale de Lyon

 Cette thèse de doctorat est dédiée à l’analyse automatique de visages 3D, incluant la détection de points d’intérêt et la reconnaissance de l’expression faciale. En… (more)

Subjects/Keywords: Visage 3D; Reconnaissance de l'expression faciale; Reconnaissance des unités d'action; Localisation de points d'intérêt; Modèle statistique de caractéristiques faciales; Réseau de croyance bayésien; 3D face; Facial expression recognition; Action unit recognition; Face landmarking; Statistical facial feature model; Bayesian belief network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhao, X. (2010). 3D face analysis : landmarking, expression recognition and beyond : Reconnaissance de l'expression du visage. (Doctoral Dissertation). Ecully, Ecole centrale de Lyon. Retrieved from http://www.theses.fr/2010ECDL0021

Chicago Manual of Style (16th Edition):

Zhao, Xi. “3D face analysis : landmarking, expression recognition and beyond : Reconnaissance de l'expression du visage.” 2010. Doctoral Dissertation, Ecully, Ecole centrale de Lyon. Accessed January 19, 2020. http://www.theses.fr/2010ECDL0021.

MLA Handbook (7th Edition):

Zhao, Xi. “3D face analysis : landmarking, expression recognition and beyond : Reconnaissance de l'expression du visage.” 2010. Web. 19 Jan 2020.

Vancouver:

Zhao X. 3D face analysis : landmarking, expression recognition and beyond : Reconnaissance de l'expression du visage. [Internet] [Doctoral dissertation]. Ecully, Ecole centrale de Lyon; 2010. [cited 2020 Jan 19]. Available from: http://www.theses.fr/2010ECDL0021.

Council of Science Editors:

Zhao X. 3D face analysis : landmarking, expression recognition and beyond : Reconnaissance de l'expression du visage. [Doctoral Dissertation]. Ecully, Ecole centrale de Lyon; 2010. Available from: http://www.theses.fr/2010ECDL0021

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