By Abdenour Hadid, Matti Pietikäinen, Stan Z. Li (auth.), S. Kevin Zhou, Wenyi Zhao, Xiaoou Tang, Shaogang Gong (eds.)
The 2007 IEEE overseas Workshop on research and Modeling of Faces and Gestures(AMFG)isthethirdworkshopofitstypeorganizedinconjunctionwith ICCV, this time in Rio de Janeiro, Brazil. Our fundamental target is to compile researchersand examine groupsto evaluation the prestige of popularity, research and modeling of face, gesture, job, and behaviour; to debate the demanding situations that we face; and to discover destiny instructions. This yr we got fifty five submissions. every one paper used to be reviewed by way of 3 application committee individuals. the full reviewing method was once double blind. However,due to measurement restrict, we have been in basic terms in a position to accommodate 22 papers, between which eight are orals and 14 are posters. the subjects lined by means of those permitted papers comprise function illustration, 3D face, strong acceptance less than pose and illumination variations,video-basedface recognition,learning,facial movement research, physique pose estimation, and signal popularity. a unique note of thank you is going to Dr. Feng Zhao, our organizing chair, for his commitment and nice e?orts in conserving either the net submission approach and workshop web site and in dealing with many of the writer contacts. we're indebted to the advisory committee participants for his or her invaluable feedback and to this system committee individuals for his or her labor and well timed experiences. ultimately, we thank Cognitec procedure GmbH and Siemens company examine for his or her sponsorship. October 2007 S. Kevin Zhou Wen-Yi Zhao Xiaoou Tang Shaogang Gong association AMFG 2007 used to be held together with ICCV 2007. Workshop Chairs S. Kevin Zhou Siemens company learn Wen-Yi Zhao Intuitive Surgical, Inc.
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Additional info for Analysis and Modeling of Faces and Gestures: Third International Workshop, AMFG 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings
This is the approach taken in , for example, where window-based matching is employed. g. ), as well as better models for the distribution of the error in the modeling of texture (Eq. 5). Finally, if one is to perform recognition based on models obtained in the presence of occlusions, one would likely want a second model refinement step in which one breaks the initial model into segments  in a way that respects the occlusion boundaries. The goal would then be to infer identity using only the unoccluded segments of the model.
The feature vector for the location component is 3-dimensional. – Orientation component. The unit vector corresponding to the z-axis, zH , of the right hand sensor, with reference to the waist sensor’s coordinate frame. 1 that the hand orientation is deﬁned as the direction in which the palm and ﬁngers are pointing. Here however, we only extract features measuring the palm direction because measurements pertaining to the ﬁngers are already extracted in the feature vector of the handshape component.
We find that the importance of these two constraints (roughly speaking, the “texture match” and the “stereo match”) varies depending on the type of foreign body occluders that are present. We also find that even in the absence of occluders, explicitly enforcing the texture match constraint significantly improves fitting accuracy in comparison to an approach that uses the stereo match constraint alone (suggested in ). 1 Related Work 3D Morphable Models (3DMMs)  use high resolution linear 3D shape and texture models to represent faces.
Analysis and Modeling of Faces and Gestures: Third International Workshop, AMFG 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings by Abdenour Hadid, Matti Pietikäinen, Stan Z. Li (auth.), S. Kevin Zhou, Wenyi Zhao, Xiaoou Tang, Shaogang Gong (eds.)