Emerging Trends in Visual Computing (ETVC'08)

• Shun-Ichi AMARI (Mathematical Neuroscience Laboratory, Brain Science Institute, RIKEN, Wako-Shi, Japan)
  Information Geometry and Its Applications
 

• Tetsuo ASANO (School of Information Science, Japan Advanced Institute of Science and Technology, JAIST, Japan)
  Constant-Working-Space Algorithms for Image Processing
 
 

• Francis BACH (INRIA-ENS/Mines)
  Machine learning and kernel methods for computer vision
 

• Frederic BARBARESCO (Thales Air Systems, France)
  Applications of information geometry to radar signal processing
 

• Michel BARLAUD (I3S CNRS, University of Nice-Sophia-Antipolis, Polytech'Nice & Institut Universitaire de France, France)
  Image Retrieval via Kullback Divergence of Patches of Wavelets Coefficients in the k-NN Framework
 

• Jean-Daniel BOISSONNAT (GEOMETRICA, INRIA Sophia-Antipolis, France)
  Certified Mesh Generation
 

• Pascal FUA (EPFL, CVLAB, Swiss)
  Recovering Shape and Motion from Video Sequences
 

• Markus GROSS (Department of Computer Science, Institute of Scientific Computing, Swiss Federal Institute of Technology Zurich, ETHZ, Switzerland)
  3D Video: A Fusion of Graphics and Vision
 

• Xianfeng David GU (State University of New York at Stony Brook, USA)
  Discrete Curvature Flow for Surfaces and 3-Manifolds
 

• Leonidas GUIBAS (Geometric Computation Group, Computer Science Department, Stanford University, USA)
  Detection of Symmetries and Repeated Patterns in 3D Point Cloud Data
 

• Sylvain LAZARD (VEGAS, INRIA LORIA Nancy, France)
  3D Visibility and Lines in Space
 

• Stéphane MALLAT (Ecole Polytechnique, Centre de Mathématiques Appliquées, CMAP, France)
  Sparse Geometric Super-Resolution
 

• Hiroshi MATSUZOE (Department of Computer Science and Engineering Graduate School of Engineering, Nagoya Institute of Technology, NITECH, Japan)
  Computational Geometry from the Viewpoint of Affine Differential Geometry
 

• Dimitris METAXAS (Computational Biomedicine Imaging and Modeling Center, CBMI, Rutgers University, USA)
  Unifying Subspace and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification
 

• Frank NIELSEN (LIX, Ecole Polytechnique, Paris, France & Sony Computer Science Laboratories Inc., Tokyo, Japan)
  Computational Geometry in Dually Flat Spaces: Theory, Applications and Perspectives
 

• Richard NOCK (CEREGMIA, University of Antilles-Guyane, France)
  The Intrinsic Geometries of Learning
 
• Nikos PARAGIOS (Ecole Centrale de Paris, ECP, Paris, France)
  Procedural Modeling of Architectures: Towards Large Scale Visual Reconstruction
 

• Xavier PENNEC (ASCLEPIOS, INRIA Sophia-Antipolis, France)
  Statistical Computing on Manifolds for Computational Anatomy
 

• Ramesh RASKAR (MIT Media Lab, USA)
  Computational Photography: Epsilon to Coded Imaging
 

• Cordelia SCHMID (LEAR, INRIA Grenoble, France)
  Large-Scale Object Recognition Systems
 

• Gabriel TAUBIN (Division of Engineering, Brown University, USA)
  Shape from Depth Discontinuities
 

• Baba VEMURI (Department of Computer & Information Science and Engineering, University of Florida, USA)
  Information-Theoretic Algorithms for Diffusion Tensor Imaging
 

• Suresh VENKATASUBRAMANIAN (School of Computing, University of Utah, USA)
  Non-standard Geometries and Data Analysis
 

• Martin VETTERLI (School of Computer and Communication Sciences & Dept. Elect. Eng. and Computer Sciences, EPFL, Switzerland)
  Sparse Sampling: Variations on a Theme by Shannon
 

• Jun ZHANG (Department of Psychology, University of Michigan, USA)
  Information Geometry: Duality, Convexity and Divergences