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Analysis and Modeling of Faces and Gestures - nouveau livre

2007, ISBN: 9783540756897

The 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures(AMFG)isthethirdworkshopofitstypeorganizedinconjunctionwith ICCV, this time in Rio de Janeiro, Brazil. O… Plus…

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Analysis and Modeling of Faces and Gestures Third International Workshop, AMFG 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings - Zhou, S. Kevin (Herausgeber); Gong, Shaogang (Herausgeber); Tang, Xiaoou (Herausgeber); Zhao, Wen-Yi (Herausgeber)
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Zhou, S. Kevin (Herausgeber); Gong, Shaogang (Herausgeber); Tang, Xiaoou (Herausgeber); Zhao, Wen-Yi (Herausgeber):

Analysis and Modeling of Faces and Gestures Third International Workshop, AMFG 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings - nouveau livre

2007, ISBN: 3540756892

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Zhou, S. Kevin, Wen-Yi Zhao und Xiaoou Tang:
Analysis and Modeling of Faces and Gestures Third International Workshop, AMFG 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings - Livres de poche

2007

ISBN: 3540756892

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Analysis and Modeling of Faces and Gestures - Livres de poche

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Analysis and Modeling of Faces and Gestures
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3540756892


This book constitutes the refereed proceedings of the Third International Workshop on Analysis and Modelling of Faces and Gestures, AMFG 2007, held in Rio de Janeiro, Brazil, in October 2007 within the scope of ICCV 2007, the International Conference on Computer Vision. The 8 revised full papers presented together with 13 revised poster papers were carefully reviewed and selected from 55 submissions. The papers review the status of recognition, analysis and modeling of face, gesture, activity, and behavior. Topics addressed include feature representation, 3D face, robust recognition under pose and illumination variations, video-based face recognition, learning, facial motion analysis, body pose estimation, and sign recognition.

Informations détaillées sur le livre - Analysis and Modeling of Faces and Gestures


EAN (ISBN-13): 9783540756897
ISBN (ISBN-10): 3540756892
Version reliée
Livre de poche
Date de parution: 2007
Editeur: Springer Berlin Heidelberg
304 Pages
Poids: 0,486 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-06-22T06:32:24+02:00 (Paris)
Page de détail modifiée en dernier sur 2024-02-09T13:41:50+01:00 (Paris)
ISBN/EAN: 3540756892

ISBN - Autres types d'écriture:
3-540-75689-2, 978-3-540-75689-7
Autres types d'écriture et termes associés:
Auteur du livre: zhou zhao, tang, gong, analysis, wen
Titre du livre: brazil, analysis, modelling, rio janeiro, faces science, october, gesture, face recognition, graphic, you have seen their faces, always the same faces, gestures, gestur, international graphics, pattern recognition, kevin, zhou, proceedings international workshop

Données de l'éditeur

Auteur: S. Kevin Zhou; Wen-Yi Zhao; Xiaoou Tang; Shaogang Gong
Titre: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Analysis and Modeling of Faces and Gestures - Third International Workshop, AMFG 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings
Editeur: Springer; Springer Berlin
304 Pages
Date de parution: 2007-10-08
Berlin; Heidelberg; DE
Langue: Anglais
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
X, 304 p.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Mustererkennung; Verstehen; Informatik; 3D; 3D modeling; 3D vision; Textur; biometrics; classification; cognition; computer vision; face recognition; holistic methods; image analysis; learning; modeling; motion analysis; real-time; algorithm analysis and problem complexity; Automated Pattern Recognition; Computer Vision; Artificial Intelligence; Computer Graphics; Algorithms; Maschinelles Sehen, Bildverstehen; Künstliche Intelligenz; Grafikprogrammierung; Algorithmen und Datenstrukturen; EA

Oral - I.- Learning Personal Specific Facial Dynamics for Face Recognition from Videos.- A New Probabilistic Model for Recognizing Signs with Systematic Modulations.- Model-Based Stereo with Occlusions.- View Invariant Head Recognition by Hybrid PCA Based Reconstruction.- Poster - I.- Person-Independent Monocular Tracking of Face and Facial Actions with Multilinear Models.- Automatic Facial Expression Recognition Using Boosted Discriminatory Classifiers.- Generating Body Surface Deformation Using Level Set Method.- Patch-Based Pose Inference with a Mixture of Density Estimators.- Integrating Multiple Visual Cues for Robust Real-Time 3D Face Tracking.- Model-Assisted 3D Face Reconstruction from Video.- Human Perambulation as a Self Calibrating Biometric.- Oral - II.- Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling.- Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions.- Structured Ordinal Features for Appearance-Based Object Representation.- SODA-Boosting and Its Application to Gender Recognition.- Poster - II.- Single Image Subspace for Face Recognition.- Human Face Processing with 1.5D Models.- Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition.- A Unified Framework of Subspace and Distance Metric Learning for Face Recognition.- Face Recognition Based on Pose-Variant Image Synthesis and Multi-level Multi-feature Fusion.- Towards Pose-Invariant 2D Face Classification for Surveillance.- Robust Face Recognition Strategies Using Feed-Forward Architectures and Parts.
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