IEEE International Workshop on Dynamic Shape Capture and Analysis Workshop

Modeling shapes that evolve over time, analyzing and interpreting their motion has been a subject of increasing interest of many research communities including the computer vision, the computer graphics and the medical imaging community. Recent evolutions in acquisition technologies including 3D depth cameras (Time-of-Light and Kinect), multi-camera systems, marker based motion capture systems, ultrasound and CT scans have made those communities consider capturing the real scene and their dynamics, create 4D spatio-temporal models, analyze and interpret them. A number of applications including motion capture, dynamic shape modeling and animation, temporally consistent 3D reconstruction, motion analyzes and interpretation have emerged. The purpose of this workshop is to provide a venue for researchers, from various communities, working in the field of modeling dynamic scenes from various modalities to present their work, exchange ideas and identify challenging issues in this domain.

Program Committee

• Adrian Bartoli, LASMEA Clermont-Ferrand, France
• Luca Ballan, ETHZ, Switzerland
• Peter Eisert, Heinrich-Hertz-Institute, Berlin, Germany
• Jean-Sebastien Franco, INRIA Rhone Alpes, France
• Ben Glocker, Microsoft Research, Cambridge, UK
• Juergen Gall, ETH Zurich, Switzerland
• Oliver Grau, BBC Research, UK
• Radu Horaud, INRIA Rhone-Alpes, France
• Ron Kimmel, Technion - Israel Institute of Technology, Israel
• Yebin Liu, Tsinghua University, China
• Marcus Magnor, TU Braunschweig, Germany
• Francesc Moreno-Noguer, Institut de Robotica i Informtica Industrial, Barcelona, Spain
• Christian Plaggerman, Stanford University, USA
• Bodo Rosenhahn, University of Hannover, Germany
• Mathieu Salzmann, TTI Chicago, USA
• Leonid Sigal, Disney Research Pittsburg, USA
• Christian Theobalt, MPI Informatik Saarbrucken, Germany
• Tony Tung, Kyoto University, Japan
• Raquel Urtasun, TTI Chichago, USA
• Michael Wand, Saarland University / MPI Informatik, Germany
• Andrei Zaharescu, AIMETIS Corporation, Waterloo, Canada
• Darko Zikic, TUM, Germany

Topics

• 4D acquisition of real-world dynamic scenes
• Shape recovery of dynamic 3D scenes
• Temporally consistent tracking of deformable surfaces
• 4D Representation
• 4D Reconstruction from Medical Images
• Deformation surface models
• Free-viewpoint and 3D video
• Marker-less human motion capture (articulated and surface based)
• Monocular and multi-view deformable surface capture
• Animation and texture transfer
• Deformable surface tracking for medical applications
• Deformable Shape Matching
• Motion analysis
• Scene Flow
• Non-rigid and Deformable shape analysis
• Shape segmentation
• Learning of model deformations
• Space-time geometry processing
• Applications of 3D video and 4D modeling