Analysis and Modelling of Faces and Gestures - Second International Workshop, AMFG 2005, Beijing, China, October 16, 2005, Proceedings (Paperback, 2005 ed.)

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

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computer Science, 3723
Release date:	October 2005
First published:	2005
Editors:	Wenyi Zhao • Shaogang Gong • Xiaou Tang
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Paperback
Pages:	424
Edition:	2005 ed.
ISBN-13:	978-3-540-29229-6
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Promotions
LSN:	3-540-29229-2
Barcode:	9783540292296

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