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Analysis and modelling of faces and gestures : second international workshop, AMFG 2005, Beijing, China, October 16, 2005 : proceedings / Wenyi Zhao, Shaogang Gong, Xiaoou Tang (eds.).

By: (2nd : IEEE International Workshop on Analysis and Modeling of Faces and Gestures (2nd : 2005 : Beijing, China)Contributor(s): Zhao, Wenyi, 1969- | Gong, Shaogang | Tang, XiaoouMaterial type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 3723.Publisher: Berlin ; New York : Springer, ©2005Description: 1 online resource (xi, 424 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540320746; 3540320741; 3540292292; 9783540292296Other title: AMFG 2005Subject(s): Human face recognition (Computer science) -- Congresses | Optical pattern recognition -- Congresses | Face perception -- Congresses | Gesture -- Computer simulation -- Congresses | Image processing -- Digital techniques -- Congresses | Human-computer interaction -- Congresses | Gestes -- Simulation par ordinateur -- Congrès | Interaction homme-ordinateur -- Congrès | Perception des visages -- Congrès | Reconnaissance faciale (Informatique) -- Congrès | Reconnaissance optique des formes (Informatique) -- Congrès | Traitement d'images -- Techniques numériques -- Congrès | COMPUTERS -- Computer Vision & Pattern Recognition | Optical pattern recognition | Human face recognition (Computer science) | Face perception -- Data processing | Gesture -- Computer simulation | Informatique | Face perception | Human-computer interaction | Human face recognition (Computer science) | Image processing -- Digital techniques | Optical pattern recognition | Simulation par ordinateur | Geste | Perception des visages | Reconnaissance faciale | Interaction homme-machine | Reconnaissance optique des formesGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Analysis and modelling of faces and gestures.DDC classification: 006.37 LOC classification: TA1650 | .I36 2005Other classification: 54.74 | TP391. 4-532 Online resources: Click here to access online
Contents:
Representation -- Recognition -- Learning -- 3D modeling -- Poster sessions.
Action note: digitized 2010 committed to preserveSummary: During the last 30 years, face recognition and related problems such as face detection/tracking and facial expression recognition have attracted researchers from both the engineering and psychology communities. In addition, extensive research has been carried out to study hand and body gestures. The understanding of how humans perceive these important cues has significant scientific value and extensive applications. For example, human-computer interaction, visual surveillance, and smart video indexing are active application areas. Aiming towards putting such amazing perception capability onto computer systems, researchers have made substantial progress. However, technological challenges still exist in many aspects. Following a format similar to the IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG) 2003, this one-day workshop (AMFG 2005) provided a focused international forum to bring together well-known researchers and research groups to review the status of recognition, analysis and modeling of faces and gestures, to discuss the challenges that we are facing, and to explore future directions. Overall, 30 papers were selected from 90 submitted manuscripts. The topics of these papers range from feature representation, robust recognition, learning, and 3D modeling to psychology. In addition, two invited talks were given, by Prof. Kanade and Dr. Phillips. The technical program was organized into four oral sessions and two poster sessions. This workshop would not have been possible without the timely reviews provided by the members of the Technical Program Committee under a tight schedule. October 2005 Wenyi Zhao Shaogang Gong Xiaoou Tang.
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Includes bibliographical references and index.

Representation -- Recognition -- Learning -- 3D modeling -- Poster sessions.

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Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL

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digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL

During the last 30 years, face recognition and related problems such as face detection/tracking and facial expression recognition have attracted researchers from both the engineering and psychology communities. In addition, extensive research has been carried out to study hand and body gestures. The understanding of how humans perceive these important cues has significant scientific value and extensive applications. For example, human-computer interaction, visual surveillance, and smart video indexing are active application areas. Aiming towards putting such amazing perception capability onto computer systems, researchers have made substantial progress. However, technological challenges still exist in many aspects. Following a format similar to the IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG) 2003, this one-day workshop (AMFG 2005) provided a focused international forum to bring together well-known researchers and research groups to review the status of recognition, analysis and modeling of faces and gestures, to discuss the challenges that we are facing, and to explore future directions. Overall, 30 papers were selected from 90 submitted manuscripts. The topics of these papers range from feature representation, robust recognition, learning, and 3D modeling to psychology. In addition, two invited talks were given, by Prof. Kanade and Dr. Phillips. The technical program was organized into four oral sessions and two poster sessions. This workshop would not have been possible without the timely reviews provided by the members of the Technical Program Committee under a tight schedule. October 2005 Wenyi Zhao Shaogang Gong Xiaoou Tang.

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