Articulated Motion and Deformable Objects

The AMDO 2000 workshop took place at the Universitat de les Illes Balears (UIB) on 7 9 September 2000, sponsored by the International Association for Pattern Recognition Technical Committee, the European Commission by - man Potential Program:High Level Scienti?c Conferences and the Mathematics andComputer Science DepartmentofUIB. Thesubject ofthe workshopwas- goingresearchinarticulatedmotiononthesequenceofimagesandsophisticated models for deformable objects. The goals of these areas are to understand and interpret object motion around complex objects that we can ?nd in sequences of images in the real world. These topics (geometry and physics of deformable models, motion analysis, articulated models and animation, visualization of - formable models, 3D recovery from motion, single or multiple human motion analysis and synthesis, applications of deformable models and motion analysis, etc. ) are interesting examples of how research can be used to solve more general problems. Another objective of this workshop was to relate ?elds using c- puter graphics, computer animation or applications in several disciplines c- bining synthetic and analytical images. In this regard it is of particular interest to encouragelinksbetweenresearchersinareasofcomputervisionandcomputer graphics who have common problems and frequently use similar techniques. The workshop included four sessions of presented papers and two tutorials. Invited speakers treating various aspects of the topics were: Y. Aloimonos from the Computer Vision Laboratory, Center for Automation Research, University of Maryland, USA, G. Medioni from the Institute for Robotics and Intelligent S- tems,UniversityofSouthernCalifornia,USA,andR. Boulic,Adjointscienti?que from the Swiss Federal Institute of Technology Lausanne, Switzerland. September 2000 H. -H. Nagel and F. J.

Includes supplementary material: sn.pub/extras

Articulated Motion and Deformable Objects AMDO2000.- Robust Manipulation of Deformable Objects Using Model Based Technique.- Shape Recognition Algorithm Robust under Partial Occlusions and Affine Deformations.- Adaptation of ASM to Lips Edge Detection.- Elastic Deformations Using Finite Element Methods in Computer Graphic Applications.- Analysis of Human Motion Using Snakes and Neural Networks.- Stability and Complexity Study of Animated Elastically Deformable Objects.- Multi-part Non-rigid Object Tracking Based on Time Model-Space Gradients.- Spatio-Temporal Modeling in the Farmyard Domain.- Recognition of Articulated Objects in SAR Images.- A Robust Method for Motion Estimation in Image Sequences.- Spectral Correspondence for Deformed Point-Set Matching.- Visualization of Local Movements for Optimal Marker Positioning.- Matching a Human Walking Sequence with a VRML Synthetic Model.- Model Adaptation and Posture Estimation of Moving Articulated Object Using Monocular Camera.- Automatic Selection of Keyframes for Activity Recognition.