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You searched for subject:(3D face recognition). Showing records 1 – 30 of 41 total matches.

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University of Notre Dame

1. Robert McKeon. Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>.

Degree: PhD, Computer Science and Engineering, 2010, University of Notre Dame

  Many commercially available 3D sensors suitable for face image capture employ passive or texture-assisted stereo imaging or structured illumination with a moving light stripe.… (more)

Subjects/Keywords: object tracking; range scanner; face; 3D imaging; biometric; Face recognition

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APA (6th Edition):

McKeon, R. (2010). Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/p8418k7401t

Chicago Manual of Style (16th Edition):

McKeon, Robert. “Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>.” 2010. Doctoral Dissertation, University of Notre Dame. Accessed January 26, 2020. https://curate.nd.edu/show/p8418k7401t.

MLA Handbook (7th Edition):

McKeon, Robert. “Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>.” 2010. Web. 26 Jan 2020.

Vancouver:

McKeon R. Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2010. [cited 2020 Jan 26]. Available from: https://curate.nd.edu/show/p8418k7401t.

Council of Science Editors:

McKeon R. Three-Dimensional Face Imaging and Recognition: A Sensor Design and Comparative Study</h1>. [Doctoral Dissertation]. University of Notre Dame; 2010. Available from: https://curate.nd.edu/show/p8418k7401t


University of Notre Dame

2. Nisha Srinivas. Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>.

Degree: PhD, Computer Science and Engineering, 2015, University of Notre Dame

  Continuing advancements in the field of digital cameras and surveillance imaging devices have led law enforcement and intelligence agencies to use analysis of images… (more)

Subjects/Keywords: Identical Twins; Biometrics; 2D Face Recognition; 3D Face Recognition; Forensic Identification; Facial Marks

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APA (6th Edition):

Srinivas, N. (2015). Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/ng451g07r89

Chicago Manual of Style (16th Edition):

Srinivas, Nisha. “Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>.” 2015. Doctoral Dissertation, University of Notre Dame. Accessed January 26, 2020. https://curate.nd.edu/show/ng451g07r89.

MLA Handbook (7th Edition):

Srinivas, Nisha. “Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>.” 2015. Web. 26 Jan 2020.

Vancouver:

Srinivas N. Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2015. [cited 2020 Jan 26]. Available from: https://curate.nd.edu/show/ng451g07r89.

Council of Science Editors:

Srinivas N. Analysis of Facial Marks as Biometric Signatures for Forensic Facial Identification</h1>. [Doctoral Dissertation]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/ng451g07r89


University of Bath

3. 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 (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 26, 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. 26 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 26]. 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


University of Notre Dame

4. Vipin Vijayan. Three Dimensional Face Recognition of Identical Twins</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2012, University of Notre Dame

  Two problems that are generally considered to be difficult in face recognition are variations in expression and distinguishing between the faces of identical twins.… (more)

Subjects/Keywords: 3d face recognition; computer vision; identical twins; biometrics

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APA (6th Edition):

Vijayan, V. (2012). Three Dimensional Face Recognition of Identical Twins</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/j6731259k0n

Chicago Manual of Style (16th Edition):

Vijayan, Vipin. “Three Dimensional Face Recognition of Identical Twins</h1>.” 2012. Masters Thesis, University of Notre Dame. Accessed January 26, 2020. https://curate.nd.edu/show/j6731259k0n.

MLA Handbook (7th Edition):

Vijayan, Vipin. “Three Dimensional Face Recognition of Identical Twins</h1>.” 2012. Web. 26 Jan 2020.

Vancouver:

Vijayan V. Three Dimensional Face Recognition of Identical Twins</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2012. [cited 2020 Jan 26]. Available from: https://curate.nd.edu/show/j6731259k0n.

Council of Science Editors:

Vijayan V. Three Dimensional Face Recognition of Identical Twins</h1>. [Masters Thesis]. University of Notre Dame; 2012. Available from: https://curate.nd.edu/show/j6731259k0n


University of Wollongong

5. Zhao, Kankan. 3D face recognition based on a modified iterative closest point method.

Degree: Master of Engineering - Research, 2012, University of Wollongong

Face recognition has gained extensive attention recently, with many applications in a broad range of domains such as access control in security systems and… (more)

Subjects/Keywords: scale difference; 3D face recognition; ICP; DFPP system

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APA (6th Edition):

Zhao, K. (2012). 3D face recognition based on a modified iterative closest point method. (Masters Thesis). University of Wollongong. Retrieved from ; https://ro.uow.edu.au/theses/3652

Chicago Manual of Style (16th Edition):

Zhao, Kankan. “3D face recognition based on a modified iterative closest point method.” 2012. Masters Thesis, University of Wollongong. Accessed January 26, 2020. ; https://ro.uow.edu.au/theses/3652.

MLA Handbook (7th Edition):

Zhao, Kankan. “3D face recognition based on a modified iterative closest point method.” 2012. Web. 26 Jan 2020.

Vancouver:

Zhao K. 3D face recognition based on a modified iterative closest point method. [Internet] [Masters thesis]. University of Wollongong; 2012. [cited 2020 Jan 26]. Available from: ; https://ro.uow.edu.au/theses/3652.

Council of Science Editors:

Zhao K. 3D face recognition based on a modified iterative closest point method. [Masters Thesis]. University of Wollongong; 2012. Available from: ; https://ro.uow.edu.au/theses/3652


University of Windsor

6. Soltanpour, Sima. 3D FACE RECOGNITION USING LOCAL FEATURE BASED METHODS.

Degree: PhD, Electrical and Computer Engineering, 2018, University of Windsor

Face recognition has attracted many researchers’ attention compared to other biometrics due to its non-intrusive and friendly nature. Although several methods for 2D face recognition(more)

Subjects/Keywords: 3D; Face recognition; Hybrid classifier; Local features; Survey

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APA (6th Edition):

Soltanpour, S. (2018). 3D FACE RECOGNITION USING LOCAL FEATURE BASED METHODS. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7416

Chicago Manual of Style (16th Edition):

Soltanpour, Sima. “3D FACE RECOGNITION USING LOCAL FEATURE BASED METHODS.” 2018. Doctoral Dissertation, University of Windsor. Accessed January 26, 2020. https://scholar.uwindsor.ca/etd/7416.

MLA Handbook (7th Edition):

Soltanpour, Sima. “3D FACE RECOGNITION USING LOCAL FEATURE BASED METHODS.” 2018. Web. 26 Jan 2020.

Vancouver:

Soltanpour S. 3D FACE RECOGNITION USING LOCAL FEATURE BASED METHODS. [Internet] [Doctoral dissertation]. University of Windsor; 2018. [cited 2020 Jan 26]. Available from: https://scholar.uwindsor.ca/etd/7416.

Council of Science Editors:

Soltanpour S. 3D FACE RECOGNITION USING LOCAL FEATURE BASED METHODS. [Doctoral Dissertation]. University of Windsor; 2018. Available from: https://scholar.uwindsor.ca/etd/7416


University of Western Australia

7. Lei, Yinjie. Machine learning based 3D face biometrics with local low-level geometrical features.

Degree: PhD, 2013, University of Western Australia

[Truncated abstract] Biometrics has been an active research area due to its enormous potential applications in video surveillance, human-machine interaction and access control systems. Among… (more)

Subjects/Keywords: 3D bimetrics; 3D face recognition; Geometrical feature; Machine learning; SVM; KPCA; Geodesic curve; Geodesic distance

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APA (6th Edition):

Lei, Y. (2013). Machine learning based 3D face biometrics with local low-level geometrical features. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34905&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Lei, Yinjie. “Machine learning based 3D face biometrics with local low-level geometrical features.” 2013. Doctoral Dissertation, University of Western Australia. Accessed January 26, 2020. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34905&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Lei, Yinjie. “Machine learning based 3D face biometrics with local low-level geometrical features.” 2013. Web. 26 Jan 2020.

Vancouver:

Lei Y. Machine learning based 3D face biometrics with local low-level geometrical features. [Internet] [Doctoral dissertation]. University of Western Australia; 2013. [cited 2020 Jan 26]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34905&local_base=GEN01-INS01.

Council of Science Editors:

Lei Y. Machine learning based 3D face biometrics with local low-level geometrical features. [Doctoral Dissertation]. University of Western Australia; 2013. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34905&local_base=GEN01-INS01


University of Bradford

8. Al-Qatawneh, Sokyna M. S. 3D facial feature extraction and recognition : an investigation of 3D face recognition : correction and normalisation of the facial data, extraction of facial features and classification using machine learning techniques.

Degree: PhD, 2010, University of Bradford

Face recognition research using automatic or semi-automatic techniques has emerged over the last two decades. One reason for growing interest in this topic is the… (more)

Subjects/Keywords: 006.3; Machine learning techniques; Facial features; Facial classification; Neural networks; 3D face databases; 3D face recognition

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APA (6th Edition):

Al-Qatawneh, S. M. S. (2010). 3D facial feature extraction and recognition : an investigation of 3D face recognition : correction and normalisation of the facial data, extraction of facial features and classification using machine learning techniques. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/4876

Chicago Manual of Style (16th Edition):

Al-Qatawneh, Sokyna M S. “3D facial feature extraction and recognition : an investigation of 3D face recognition : correction and normalisation of the facial data, extraction of facial features and classification using machine learning techniques.” 2010. Doctoral Dissertation, University of Bradford. Accessed January 26, 2020. http://hdl.handle.net/10454/4876.

MLA Handbook (7th Edition):

Al-Qatawneh, Sokyna M S. “3D facial feature extraction and recognition : an investigation of 3D face recognition : correction and normalisation of the facial data, extraction of facial features and classification using machine learning techniques.” 2010. Web. 26 Jan 2020.

Vancouver:

Al-Qatawneh SMS. 3D facial feature extraction and recognition : an investigation of 3D face recognition : correction and normalisation of the facial data, extraction of facial features and classification using machine learning techniques. [Internet] [Doctoral dissertation]. University of Bradford; 2010. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/10454/4876.

Council of Science Editors:

Al-Qatawneh SMS. 3D facial feature extraction and recognition : an investigation of 3D face recognition : correction and normalisation of the facial data, extraction of facial features and classification using machine learning techniques. [Doctoral Dissertation]. University of Bradford; 2010. Available from: http://hdl.handle.net/10454/4876


University of Western Australia

9. Al-Osaimi, Faisal Radhi M. Low-level fusion and deformation modeling for textured 3D face biometrics.

Degree: PhD, 2009, University of Western Australia

[Truncated abstract] Automatic face recognition has many crucial applications in a range of domains including human-machine interaction and security. The non-intrusive nature of face recognition(more)

Subjects/Keywords: Biometry; Computer vision; Human face recognition (Computer science); Identification; Image processing; Object-oriented programming (Computer science); Three-dimensional imaging; 3D face recognition; Low-level fusion; Textured 3D face; Biometrics

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APA (6th Edition):

Al-Osaimi, F. R. M. (2009). Low-level fusion and deformation modeling for textured 3D face biometrics. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=14976&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Al-Osaimi, Faisal Radhi M. “Low-level fusion and deformation modeling for textured 3D face biometrics.” 2009. Doctoral Dissertation, University of Western Australia. Accessed January 26, 2020. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=14976&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Al-Osaimi, Faisal Radhi M. “Low-level fusion and deformation modeling for textured 3D face biometrics.” 2009. Web. 26 Jan 2020.

Vancouver:

Al-Osaimi FRM. Low-level fusion and deformation modeling for textured 3D face biometrics. [Internet] [Doctoral dissertation]. University of Western Australia; 2009. [cited 2020 Jan 26]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=14976&local_base=GEN01-INS01.

Council of Science Editors:

Al-Osaimi FRM. Low-level fusion and deformation modeling for textured 3D face biometrics. [Doctoral Dissertation]. University of Western Australia; 2009. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=14976&local_base=GEN01-INS01

10. Zhou, Dianle. Using 3D morphable models for 3D photo-realistic personalized avatars and 2D face recognition : Les modèles déformables 3D (3DMM) pour des avatars personnalisables photo-réalistes et la reconnaissance de visages 2D.

Degree: Docteur es, Informatique, 2011, Evry, Institut national des télécommunications

[Non communiqué]

In the past decade, 3D statistical face model (3D Morphable Model) has received much attention by both the commercial and public sectors. It… (more)

Subjects/Keywords: Avatar personnalisable; Reconnaissance de visages 2D; Modèle déformable 3D; Reconstruction du visage 3D; Personalized avatar; 2D face recognition; 3D morphable model; 3D face reconstruction

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

APA (6th Edition):

Zhou, D. (2011). Using 3D morphable models for 3D photo-realistic personalized avatars and 2D face recognition : Les modèles déformables 3D (3DMM) pour des avatars personnalisables photo-réalistes et la reconnaissance de visages 2D. (Doctoral Dissertation). Evry, Institut national des télécommunications. Retrieved from http://www.theses.fr/2011TELE0017

Chicago Manual of Style (16th Edition):

Zhou, Dianle. “Using 3D morphable models for 3D photo-realistic personalized avatars and 2D face recognition : Les modèles déformables 3D (3DMM) pour des avatars personnalisables photo-réalistes et la reconnaissance de visages 2D.” 2011. Doctoral Dissertation, Evry, Institut national des télécommunications. Accessed January 26, 2020. http://www.theses.fr/2011TELE0017.

MLA Handbook (7th Edition):

Zhou, Dianle. “Using 3D morphable models for 3D photo-realistic personalized avatars and 2D face recognition : Les modèles déformables 3D (3DMM) pour des avatars personnalisables photo-réalistes et la reconnaissance de visages 2D.” 2011. Web. 26 Jan 2020.

Vancouver:

Zhou D. Using 3D morphable models for 3D photo-realistic personalized avatars and 2D face recognition : Les modèles déformables 3D (3DMM) pour des avatars personnalisables photo-réalistes et la reconnaissance de visages 2D. [Internet] [Doctoral dissertation]. Evry, Institut national des télécommunications; 2011. [cited 2020 Jan 26]. Available from: http://www.theses.fr/2011TELE0017.

Council of Science Editors:

Zhou D. Using 3D morphable models for 3D photo-realistic personalized avatars and 2D face recognition : Les modèles déformables 3D (3DMM) pour des avatars personnalisables photo-réalistes et la reconnaissance de visages 2D. [Doctoral Dissertation]. Evry, Institut national des télécommunications; 2011. Available from: http://www.theses.fr/2011TELE0017

11. 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 26, 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. 26 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 26]. 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


University of Houston

12. -2928-2999. Single/Multi-View 3-D Face Reconstruction for Pose-Robust Face Recognition.

Degree: Computer Science, Department of, University of Houston

 One challenge in automated face recognition is matching facial images acquired from different views. The pose variation causes not only misalignment between images but also… (more)

Subjects/Keywords: 3D face modeling; 3D face reconstruction; Face recognition; Deep neural networks

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APA (6th Edition):

-2928-2999. (n.d.). Single/Multi-View 3-D Face Reconstruction for Pose-Robust Face Recognition. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/2875

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-2928-2999. “Single/Multi-View 3-D Face Reconstruction for Pose-Robust Face Recognition.” Thesis, University of Houston. Accessed January 26, 2020. http://hdl.handle.net/10657/2875.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-2928-2999. “Single/Multi-View 3-D Face Reconstruction for Pose-Robust Face Recognition.” Web. 26 Jan 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
No year of publication.

Vancouver:

-2928-2999. Single/Multi-View 3-D Face Reconstruction for Pose-Robust Face Recognition. [Internet] [Thesis]. University of Houston; [cited 2020 Jan 26]. Available from: http://hdl.handle.net/10657/2875.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

-2928-2999. Single/Multi-View 3-D Face Reconstruction for Pose-Robust Face Recognition. [Thesis]. University of Houston; Available from: http://hdl.handle.net/10657/2875

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Curtin University of Technology

13. Kramer, Annika. Model based methods for locating, enhancing and recognising low resolution objects in video .

Degree: 2009, Curtin University of Technology

 Visual perception is our most important sense which enables us to detect and recognise objects even in low detail video scenes. While humans are able… (more)

Subjects/Keywords: object recognition; video surveillance; visual perception; object detection; video processing; person-specific shape information; face pose; 3D generic face model

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APA (6th Edition):

Kramer, A. (2009). Model based methods for locating, enhancing and recognising low resolution objects in video . (Thesis). Curtin University of Technology. Retrieved from http://hdl.handle.net/20.500.11937/585

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kramer, Annika. “Model based methods for locating, enhancing and recognising low resolution objects in video .” 2009. Thesis, Curtin University of Technology. Accessed January 26, 2020. http://hdl.handle.net/20.500.11937/585.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kramer, Annika. “Model based methods for locating, enhancing and recognising low resolution objects in video .” 2009. Web. 26 Jan 2020.

Vancouver:

Kramer A. Model based methods for locating, enhancing and recognising low resolution objects in video . [Internet] [Thesis]. Curtin University of Technology; 2009. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/20.500.11937/585.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kramer A. Model based methods for locating, enhancing and recognising low resolution objects in video . [Thesis]. Curtin University of Technology; 2009. Available from: http://hdl.handle.net/20.500.11937/585

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Bradford

14. Han, Xia. Towards the development of an efficient integrated 3D face recognition system : enhanced face recognition based on techniques relating to curvature analysis, gender classification and facial expressions.

Degree: PhD, 2011, University of Bradford

 The purpose of this research was to enhance the methods towards the development of an efficient three dimensional face recognition system. More specifically, one of… (more)

Subjects/Keywords: 006.3; 2D/3D face recognition; Curvature estimation; Gender classification; Facial profile; Facial expressions; Geometric descriptors

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

APA (6th Edition):

Han, X. (2011). Towards the development of an efficient integrated 3D face recognition system : enhanced face recognition based on techniques relating to curvature analysis, gender classification and facial expressions. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/5347

Chicago Manual of Style (16th Edition):

Han, Xia. “Towards the development of an efficient integrated 3D face recognition system : enhanced face recognition based on techniques relating to curvature analysis, gender classification and facial expressions.” 2011. Doctoral Dissertation, University of Bradford. Accessed January 26, 2020. http://hdl.handle.net/10454/5347.

MLA Handbook (7th Edition):

Han, Xia. “Towards the development of an efficient integrated 3D face recognition system : enhanced face recognition based on techniques relating to curvature analysis, gender classification and facial expressions.” 2011. Web. 26 Jan 2020.

Vancouver:

Han X. Towards the development of an efficient integrated 3D face recognition system : enhanced face recognition based on techniques relating to curvature analysis, gender classification and facial expressions. [Internet] [Doctoral dissertation]. University of Bradford; 2011. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/10454/5347.

Council of Science Editors:

Han X. Towards the development of an efficient integrated 3D face recognition system : enhanced face recognition based on techniques relating to curvature analysis, gender classification and facial expressions. [Doctoral Dissertation]. University of Bradford; 2011. Available from: http://hdl.handle.net/10454/5347

15. Chu, Baptiste. Neutralisation des expressions faciales pour améliorer la reconnaissance du visage : Cancelling facial expressions for reliable 2D face recognition.

Degree: Docteur es, Informatique, 2015, Ecully, Ecole centrale de Lyon

Les variations de pose et d’expression constituent des limitations importantes à la reconnaissance de visages en deux dimensions. Dans cette thèse, nous proposons d’augmenter la… (more)

Subjects/Keywords: Reconnaissance de visage; Expression; Pose; Modèle déformable 3D; Neutralisation; Video; Face Recognition; Expression; Pose; 3D Morphable Model; Neutralization; Video

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

APA (6th Edition):

Chu, B. (2015). Neutralisation des expressions faciales pour améliorer la reconnaissance du visage : Cancelling facial expressions for reliable 2D face recognition. (Doctoral Dissertation). Ecully, Ecole centrale de Lyon. Retrieved from http://www.theses.fr/2015ECDL0005

Chicago Manual of Style (16th Edition):

Chu, Baptiste. “Neutralisation des expressions faciales pour améliorer la reconnaissance du visage : Cancelling facial expressions for reliable 2D face recognition.” 2015. Doctoral Dissertation, Ecully, Ecole centrale de Lyon. Accessed January 26, 2020. http://www.theses.fr/2015ECDL0005.

MLA Handbook (7th Edition):

Chu, Baptiste. “Neutralisation des expressions faciales pour améliorer la reconnaissance du visage : Cancelling facial expressions for reliable 2D face recognition.” 2015. Web. 26 Jan 2020.

Vancouver:

Chu B. Neutralisation des expressions faciales pour améliorer la reconnaissance du visage : Cancelling facial expressions for reliable 2D face recognition. [Internet] [Doctoral dissertation]. Ecully, Ecole centrale de Lyon; 2015. [cited 2020 Jan 26]. Available from: http://www.theses.fr/2015ECDL0005.

Council of Science Editors:

Chu B. Neutralisation des expressions faciales pour améliorer la reconnaissance du visage : Cancelling facial expressions for reliable 2D face recognition. [Doctoral Dissertation]. Ecully, Ecole centrale de Lyon; 2015. Available from: http://www.theses.fr/2015ECDL0005


University of Western Australia

16. Mian, Ajmal Saeed. Representations and matching techniques for 3D free-form object and face recognition.

Degree: PhD, 2006, University of Western Australia

[Truncated abstract] The aim of visual recognition is to identify objects in a scene and estimate their pose. Object recognition from 2D images is sensitive… (more)

Subjects/Keywords: Computer vision; Human face recognition (Computer science); 3D object recognition; 3D shape representation; 3D face recognition; 3D modeling

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

APA (6th Edition):

Mian, A. S. (2006). Representations and matching techniques for 3D free-form object and face recognition. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=8582&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Mian, Ajmal Saeed. “Representations and matching techniques for 3D free-form object and face recognition.” 2006. Doctoral Dissertation, University of Western Australia. Accessed January 26, 2020. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=8582&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Mian, Ajmal Saeed. “Representations and matching techniques for 3D free-form object and face recognition.” 2006. Web. 26 Jan 2020.

Vancouver:

Mian AS. Representations and matching techniques for 3D free-form object and face recognition. [Internet] [Doctoral dissertation]. University of Western Australia; 2006. [cited 2020 Jan 26]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=8582&local_base=GEN01-INS01.

Council of Science Editors:

Mian AS. Representations and matching techniques for 3D free-form object and face recognition. [Doctoral Dissertation]. University of Western Australia; 2006. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=8582&local_base=GEN01-INS01


University of Texas – Austin

17. Gupta, Shalini, 1979-. Novel algorithms for 3D human face recognition.

Degree: PhD, Electrical and Computer Engineering, 2008, University of Texas – Austin

 Automated human face recognition is a computer vision problem of considerable practical significance. Existing two dimensional (2D) face recognition techniques perform poorly for faces with… (more)

Subjects/Keywords: Automated human face recognition; Face recognition technology; 3D facial models; Geometric facial models; 3D human face recognition; Texas 3D Face Recognition Database; Fiducial points; 3D face recognition algorithm; discriminatory anthropometric distances

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

APA (6th Edition):

Gupta, Shalini, 1. (2008). Novel algorithms for 3D human face recognition. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/29595

Chicago Manual of Style (16th Edition):

Gupta, Shalini, 1979-. “Novel algorithms for 3D human face recognition.” 2008. Doctoral Dissertation, University of Texas – Austin. Accessed January 26, 2020. http://hdl.handle.net/2152/29595.

MLA Handbook (7th Edition):

Gupta, Shalini, 1979-. “Novel algorithms for 3D human face recognition.” 2008. Web. 26 Jan 2020.

Vancouver:

Gupta, Shalini 1. Novel algorithms for 3D human face recognition. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2008. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/2152/29595.

Council of Science Editors:

Gupta, Shalini 1. Novel algorithms for 3D human face recognition. [Doctoral Dissertation]. University of Texas – Austin; 2008. Available from: http://hdl.handle.net/2152/29595

18. Hariri, Walid. Contribution à la reconnaissance/authentification de visages 2D/3D : Contribution to 2D/3D face recognition/authentification.

Degree: Docteur es, STIC (sciences et technologies de l'information et de la communication) - Cergy, 2017, Cergy-Pontoise; Université Badji Mokhtar-Annaba

L’analyse de visages 3D y compris la reconnaissance des visages et des expressions faciales 3D est devenue un domaine actif de recherche ces dernières années.… (more)

Subjects/Keywords: Analyse de visage; Reconnaissance; Authentification; Matrice de covariance; Expression faciale; Visage 3D; Face analysis; Recognition; Authentication; Covariance matrix; Facial expression; 3D face

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

APA (6th Edition):

Hariri, W. (2017). Contribution à la reconnaissance/authentification de visages 2D/3D : Contribution to 2D/3D face recognition/authentification. (Doctoral Dissertation). Cergy-Pontoise; Université Badji Mokhtar-Annaba. Retrieved from http://www.theses.fr/2017CERG0905

Chicago Manual of Style (16th Edition):

Hariri, Walid. “Contribution à la reconnaissance/authentification de visages 2D/3D : Contribution to 2D/3D face recognition/authentification.” 2017. Doctoral Dissertation, Cergy-Pontoise; Université Badji Mokhtar-Annaba. Accessed January 26, 2020. http://www.theses.fr/2017CERG0905.

MLA Handbook (7th Edition):

Hariri, Walid. “Contribution à la reconnaissance/authentification de visages 2D/3D : Contribution to 2D/3D face recognition/authentification.” 2017. Web. 26 Jan 2020.

Vancouver:

Hariri W. Contribution à la reconnaissance/authentification de visages 2D/3D : Contribution to 2D/3D face recognition/authentification. [Internet] [Doctoral dissertation]. Cergy-Pontoise; Université Badji Mokhtar-Annaba; 2017. [cited 2020 Jan 26]. Available from: http://www.theses.fr/2017CERG0905.

Council of Science Editors:

Hariri W. Contribution à la reconnaissance/authentification de visages 2D/3D : Contribution to 2D/3D face recognition/authentification. [Doctoral Dissertation]. Cergy-Pontoise; Université Badji Mokhtar-Annaba; 2017. Available from: http://www.theses.fr/2017CERG0905


Brno University of Technology

19. Mráček, Štěpán. Biometric Recognition of 3D Faces .

Degree: 2010, Brno University of Technology

 Diplomová práce byla vypracována na studijním pobytu na "Gjovik University College" v Norsku, a je zpracována v angličtině. Tato práce se zabývá rozpoznáváním 3D obličejů.… (more)

Subjects/Keywords: Biometrie; 3D obličej; Metody rozpoznávání obličejů; Eigenface; Detekce významných bodů v obličeji; Biometrics; 3D face; Face recognition methods; Eigenface; Facial landmarks detection

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

APA (6th Edition):

Mráček, . (2010). Biometric Recognition of 3D Faces . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54380

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mráček, Štěpán. “Biometric Recognition of 3D Faces .” 2010. Thesis, Brno University of Technology. Accessed January 26, 2020. http://hdl.handle.net/11012/54380.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mráček, Štěpán. “Biometric Recognition of 3D Faces .” 2010. Web. 26 Jan 2020.

Vancouver:

Mráček . Biometric Recognition of 3D Faces . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/11012/54380.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mráček . Biometric Recognition of 3D Faces . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/54380

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Huang, Di. Robust face recognition based on three dimensional data : La reconnaissance faciale robuste utilisant les données trois dimensions.

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

 La reconnaissance faciale est l'une des meilleures modalités biomêtriques pour des applications liées à l'identification ou l'authentification de personnes. En effet, c'est la modalité utilisée… (more)

Subjects/Keywords: Reconnaissance de visages en 2D, 3D; Reconnaissance multimodale; Reconnaissance faciale asymétrique; Représentation faciale; 2 D, 3 D multi-modal face recognition; Asymetric face recognition; Facial representation

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APA (6th Edition):

Huang, D. (2011). Robust face recognition based on three dimensional data : La reconnaissance faciale robuste utilisant les données trois dimensions. (Doctoral Dissertation). Ecully, Ecole centrale de Lyon. Retrieved from http://www.theses.fr/2011ECDL0025

Chicago Manual of Style (16th Edition):

Huang, Di. “Robust face recognition based on three dimensional data : La reconnaissance faciale robuste utilisant les données trois dimensions.” 2011. Doctoral Dissertation, Ecully, Ecole centrale de Lyon. Accessed January 26, 2020. http://www.theses.fr/2011ECDL0025.

MLA Handbook (7th Edition):

Huang, Di. “Robust face recognition based on three dimensional data : La reconnaissance faciale robuste utilisant les données trois dimensions.” 2011. Web. 26 Jan 2020.

Vancouver:

Huang D. Robust face recognition based on three dimensional data : La reconnaissance faciale robuste utilisant les données trois dimensions. [Internet] [Doctoral dissertation]. Ecully, Ecole centrale de Lyon; 2011. [cited 2020 Jan 26]. Available from: http://www.theses.fr/2011ECDL0025.

Council of Science Editors:

Huang D. Robust face recognition based on three dimensional data : La reconnaissance faciale robuste utilisant les données trois dimensions. [Doctoral Dissertation]. Ecully, Ecole centrale de Lyon; 2011. Available from: http://www.theses.fr/2011ECDL0025


University of Western Australia

21. Islam, Syed Mohammed Shamsul. Human recognition using local 3D ear and face features.

Degree: PhD, 2010, University of Western Australia

[Truncated abstract] The field of Biometrics is rapidly gaining popularity due to increasing breaches of traditional security systems and the decreasing costs of sensors. Among… (more)

Subjects/Keywords: Ear, External; Three-dimensional imaging; Face perception; Pattern recognition systems; Image processing; Human face recognition (Computer science); Biometric identification; Biometrics; Local feature; Ear recognition; Ear detection; Face recognition; 3D; Multimodal feature-level fusion

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APA (6th Edition):

Islam, S. M. S. (2010). Human recognition using local 3D ear and face features. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=26576&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Islam, Syed Mohammed Shamsul. “Human recognition using local 3D ear and face features.” 2010. Doctoral Dissertation, University of Western Australia. Accessed January 26, 2020. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=26576&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Islam, Syed Mohammed Shamsul. “Human recognition using local 3D ear and face features.” 2010. Web. 26 Jan 2020.

Vancouver:

Islam SMS. Human recognition using local 3D ear and face features. [Internet] [Doctoral dissertation]. University of Western Australia; 2010. [cited 2020 Jan 26]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=26576&local_base=GEN01-INS01.

Council of Science Editors:

Islam SMS. Human recognition using local 3D ear and face features. [Doctoral Dissertation]. University of Western Australia; 2010. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=26576&local_base=GEN01-INS01

22. Tang, Yinhang. Contributions to biometrics : curvatures, heterogeneous cross-resolution FR and anti spoofing : Contributions à la biométrie : courbures, reconnaissance du visage sur résolutions transversales hétérologues et anti-spoofing.

Degree: Docteur es, Informatique, 2016, Lyon

 Visage est l’une des meilleures biométries pour la reconnaissance de l’identité de personnes, car l’identification d’une personne par le visage est l’habitude instinctive humaine, et… (more)

Subjects/Keywords: Reconnaissance de visage en 3D; Mesures des courbures principales; Résolutions Transversales Hétérogènes; Anti-spoofing; Reconnaissance de vaisseaux; 3D face recognition; Principal curvature measures; Anti-spoofing; Hand-dorsa vein recognition

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

APA (6th Edition):

Tang, Y. (2016). Contributions to biometrics : curvatures, heterogeneous cross-resolution FR and anti spoofing : Contributions à la biométrie : courbures, reconnaissance du visage sur résolutions transversales hétérologues et anti-spoofing. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2016LYSEC060

Chicago Manual of Style (16th Edition):

Tang, Yinhang. “Contributions to biometrics : curvatures, heterogeneous cross-resolution FR and anti spoofing : Contributions à la biométrie : courbures, reconnaissance du visage sur résolutions transversales hétérologues et anti-spoofing.” 2016. Doctoral Dissertation, Lyon. Accessed January 26, 2020. http://www.theses.fr/2016LYSEC060.

MLA Handbook (7th Edition):

Tang, Yinhang. “Contributions to biometrics : curvatures, heterogeneous cross-resolution FR and anti spoofing : Contributions à la biométrie : courbures, reconnaissance du visage sur résolutions transversales hétérologues et anti-spoofing.” 2016. Web. 26 Jan 2020.

Vancouver:

Tang Y. Contributions to biometrics : curvatures, heterogeneous cross-resolution FR and anti spoofing : Contributions à la biométrie : courbures, reconnaissance du visage sur résolutions transversales hétérologues et anti-spoofing. [Internet] [Doctoral dissertation]. Lyon; 2016. [cited 2020 Jan 26]. Available from: http://www.theses.fr/2016LYSEC060.

Council of Science Editors:

Tang Y. Contributions to biometrics : curvatures, heterogeneous cross-resolution FR and anti spoofing : Contributions à la biométrie : courbures, reconnaissance du visage sur résolutions transversales hétérologues et anti-spoofing. [Doctoral Dissertation]. Lyon; 2016. Available from: http://www.theses.fr/2016LYSEC060


North Carolina State University

23. Feng, Shuo. 3D Integral Invariant Signatures And Their Application on Face Recognition.

Degree: PhD, Electrical Engineering, 2007, North Carolina State University

 Curves are important features in computer vision and pattern recognition, and their classification under a variety of transformations, such as Euclidean, affine or projective, poses… (more)

Subjects/Keywords: face recognition; integral invariant signature; 3D integral invariant

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APA (6th Edition):

Feng, S. (2007). 3D Integral Invariant Signatures And Their Application on Face Recognition. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4754

Chicago Manual of Style (16th Edition):

Feng, Shuo. “3D Integral Invariant Signatures And Their Application on Face Recognition.” 2007. Doctoral Dissertation, North Carolina State University. Accessed January 26, 2020. http://www.lib.ncsu.edu/resolver/1840.16/4754.

MLA Handbook (7th Edition):

Feng, Shuo. “3D Integral Invariant Signatures And Their Application on Face Recognition.” 2007. Web. 26 Jan 2020.

Vancouver:

Feng S. 3D Integral Invariant Signatures And Their Application on Face Recognition. [Internet] [Doctoral dissertation]. North Carolina State University; 2007. [cited 2020 Jan 26]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4754.

Council of Science Editors:

Feng S. 3D Integral Invariant Signatures And Their Application on Face Recognition. [Doctoral Dissertation]. North Carolina State University; 2007. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4754


Ohio University

24. Aljarrah, Inad A. Three Dimensional Face Recognition Using Two Dimensional Principal Component Analysis.

Degree: PhD, Electrical Engineering & Computer Science (Engineering and Technology), 2006, Ohio University

  This dissertation describes a face recognition system that overcomes the problem of changes in gesture and mimics in three-dimensional (3D) range images. Here, we… (more)

Subjects/Keywords: 3D face recognition; 2D principal component analysis; computer vision

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

APA (6th Edition):

Aljarrah, I. A. (2006). Three Dimensional Face Recognition Using Two Dimensional Principal Component Analysis. (Doctoral Dissertation). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1142453613

Chicago Manual of Style (16th Edition):

Aljarrah, Inad A. “Three Dimensional Face Recognition Using Two Dimensional Principal Component Analysis.” 2006. Doctoral Dissertation, Ohio University. Accessed January 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1142453613.

MLA Handbook (7th Edition):

Aljarrah, Inad A. “Three Dimensional Face Recognition Using Two Dimensional Principal Component Analysis.” 2006. Web. 26 Jan 2020.

Vancouver:

Aljarrah IA. Three Dimensional Face Recognition Using Two Dimensional Principal Component Analysis. [Internet] [Doctoral dissertation]. Ohio University; 2006. [cited 2020 Jan 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1142453613.

Council of Science Editors:

Aljarrah IA. Three Dimensional Face Recognition Using Two Dimensional Principal Component Analysis. [Doctoral Dissertation]. Ohio University; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1142453613


New Jersey Institute of Technology

25. Shih, Peichung. Facial analysis in video : detection and recognition.

Degree: PhD, Computer Science, 2006, New Jersey Institute of Technology

  Biometric authentication systems automatically identify or verify individuals using physiological (e.g., face, fingerprint, hand geometry, retina scan) or behavioral (e.g., speaking pattern, signature, keystroke… (more)

Subjects/Keywords: Face detection; Color; 2d & 3d; Face recognition; Video; Convolution filters; Computer Sciences

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

APA (6th Edition):

Shih, P. (2006). Facial analysis in video : detection and recognition. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/778

Chicago Manual of Style (16th Edition):

Shih, Peichung. “Facial analysis in video : detection and recognition.” 2006. Doctoral Dissertation, New Jersey Institute of Technology. Accessed January 26, 2020. https://digitalcommons.njit.edu/dissertations/778.

MLA Handbook (7th Edition):

Shih, Peichung. “Facial analysis in video : detection and recognition.” 2006. Web. 26 Jan 2020.

Vancouver:

Shih P. Facial analysis in video : detection and recognition. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2006. [cited 2020 Jan 26]. Available from: https://digitalcommons.njit.edu/dissertations/778.

Council of Science Editors:

Shih P. Facial analysis in video : detection and recognition. [Doctoral Dissertation]. New Jersey Institute of Technology; 2006. Available from: https://digitalcommons.njit.edu/dissertations/778

26. 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… …there are still many challenging and unsolved issues in 3D face recognition, including the… …applications. Expression invariant 3D face recognition requires developing more effective and… …efficiency and accuracy are two hot topics in 3D face recognition. To overcome those challenges in… …region for alignment and feature space manipulation. 2 Most public 3D face recognition… 

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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 26, 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. 26 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 26]. 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

27. 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 26, 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. 26 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 26]. 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


University of Illinois – Urbana-Champaign

28. Le, Vuong. 3D face processing for animation and biometrics.

Degree: PhD, 1200, 2014, University of Illinois – Urbana-Champaign

 In this dissertation we study core problems in 3D face processing with their important applications in biometrics and graphics. We propose efficient and accurate feature… (more)

Subjects/Keywords: 3D shape modeling; performance driven avatar; 3D morphable model; face tracking; optical flow; gaze estimation; facial animation; facial feature localization; expression recognition; nonrigid tracking; motion model

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

APA (6th Edition):

Le, V. (2014). 3D face processing for animation and biometrics. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49853

Chicago Manual of Style (16th Edition):

Le, Vuong. “3D face processing for animation and biometrics.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 26, 2020. http://hdl.handle.net/2142/49853.

MLA Handbook (7th Edition):

Le, Vuong. “3D face processing for animation and biometrics.” 2014. Web. 26 Jan 2020.

Vancouver:

Le V. 3D face processing for animation and biometrics. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/2142/49853.

Council of Science Editors:

Le V. 3D face processing for animation and biometrics. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49853


Universitat Pompeu Fabra

29. Derkach, Dmytro. Spectrum analysis methods for 3D facial expression recognition and head pose estimation.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2018, Universitat Pompeu Fabra

 Facial analysis has attracted considerable research efforts over the last decades, with a growing interest in improving the interaction and cooperation between people and computers.… (more)

Subjects/Keywords: Facial expression recognition; 3D face; Spectral shape analysis; Laplace operators; 3D head pose; Manifold learning; Tensor decomposition; Non-linear manifold modeling; 62

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

APA (6th Edition):

Derkach, D. (2018). Spectrum analysis methods for 3D facial expression recognition and head pose estimation. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/664578

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Derkach, Dmytro. “Spectrum analysis methods for 3D facial expression recognition and head pose estimation.” 2018. Thesis, Universitat Pompeu Fabra. Accessed January 26, 2020. http://hdl.handle.net/10803/664578.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Derkach, Dmytro. “Spectrum analysis methods for 3D facial expression recognition and head pose estimation.” 2018. Web. 26 Jan 2020.

Vancouver:

Derkach D. Spectrum analysis methods for 3D facial expression recognition and head pose estimation. [Internet] [Thesis]. Universitat Pompeu Fabra; 2018. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/10803/664578.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Derkach D. Spectrum analysis methods for 3D facial expression recognition and head pose estimation. [Thesis]. Universitat Pompeu Fabra; 2018. Available from: http://hdl.handle.net/10803/664578

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

30. Kosík, Dominik. Multikamerová biometrická brána pro identifikaci osob .

Degree: 2019, Brno University of Technology

 Tato práce řeší vytvoření biometrické brány pro identifikaci osob. Identifikace probíhá za pomocí 5 barevných kamer a IR kamery. IR kamera zajišťuje detekci osoby a… (more)

Subjects/Keywords: Identifikace; Verifikace; Rozpoznávání; Biometrické systémy; Biometrické brány; 2D obličej; 3D obličej; 3D model; RGB snímky; Snímek z termokamery; 3DFlow; FlowEngine; .obj; Řezy 3D modelu; extrakce příznaků; Identification; Verification; Recognition; Biometric systems; Biometric gateways; 2D face; 3D face; 3D model; RGB iamge Thermal image; 3DFlow; FlowEngine; .obj; 3D model slice; Feature extraction

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

APA (6th Edition):

Kosík, D. (2019). Multikamerová biometrická brána pro identifikaci osob . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180146

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kosík, Dominik. “Multikamerová biometrická brána pro identifikaci osob .” 2019. Thesis, Brno University of Technology. Accessed January 26, 2020. http://hdl.handle.net/11012/180146.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kosík, Dominik. “Multikamerová biometrická brána pro identifikaci osob .” 2019. Web. 26 Jan 2020.

Vancouver:

Kosík D. Multikamerová biometrická brána pro identifikaci osob . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/11012/180146.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kosík D. Multikamerová biometrická brána pro identifikaci osob . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180146

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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