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

Format:

Book

Contributor:

Zhou, S. Kevin, editor.

Zhao, Wenyi, 1969- editor.

Tang, Xiaoou, editor.

Gong, Shaogang, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 4778.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 4778

Language:

English

Subjects (All):

Pattern perception.

Optical data processing.

Artificial intelligence.

Computer graphics.

Algorithms.

Pattern Recognition.

Image Processing and Computer Vision.

Artificial Intelligence.

Computer Graphics.

Algorithm Analysis and Problem Complexity.

Local Subjects:

Pattern Recognition.

Image Processing and Computer Vision.

Artificial Intelligence.

Computer Graphics.

Algorithm Analysis and Problem Complexity.

Physical Description:

1 online resource (X, 304 pages).

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Summary:

The 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures(AMFG)isthethirdworkshopofitstypeorganizedinconjunctionwith ICCV, this time in Rio de Janeiro, Brazil. Our primary goal is to bring together researchersand research groupsto review the status of recognition, analysis and modeling of face, gesture, activity, and behavior; to discuss the challenges that we are facing; and to explore future directions. This year we received 55 submissions. Each paper was reviewed by three program committee members. The whole reviewing process was double blind. However,due to size limit, we were only able to accommodate 22 papers, among which 8 are orals and 14 are posters. The topics covered by these accepted papers include feature representation, 3D face, robust recognition under pose and illumination variations,video-basedface recognition,learning,facial motion analysis, body pose estimation, and sign recognition. A special word of thanks goes to Dr. Feng Zhao, our organizing chair, for his dedication and great e?orts in maintaining both the online submission system and workshop website and in handling most of the author contacts. We are indebted to the advisory committee members for their valuable suggestions and to the program committee members for their hard work and timely reviews. Finally, we thank Cognitec System GmbH and Siemens Corporate Research for their sponsorship. October 2007 S. Kevin Zhou Wen-Yi Zhao Xiaoou Tang Shaogang Gong Organization AMFG 2007 was held in conjunction with ICCV 2007. Workshop Chairs S. Kevin Zhou Siemens Corporate Research Wen-Yi Zhao Intuitive Surgical, Incorporated.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-540-75690-3

9783540756903

Access Restriction:

Restricted for use by site license.