Let's bring out the popcorn, Frank Nielsen just let me know that the videos of the talks of ETVC'08 that occured two weeks ago are now available. As one can see (below) the lists features some of the people and techniques mentioned in this blog before. I particulary like the fact that some of these techniques are going to be increasinlgy important as folks are looking at performing tasks directly on the CS measurements as opposed to first performing reconstruction.
This year, the international colloquium of LIX (Ecole Polytechnique) focuses on the emerging trends and challenges of the foundations of the cross-disciplinary area of visual computing. Visual computing encompasses computational geometry, computer graphics, machine vision and learning (just to name a few), and relies at its very heart on information geometry. Visual computing is underpinning major industrial applications as attested recently by the emerging fields of computational photography, 3D cinematography and advanced biomedical imaging.
The official website of the workshop is here. The videos of the talks are listed below:
- Opening of ETVC'08 by Jean-Marc Steyaert, Frank Nielsen
- Detection of Symmetries and Repeated Patterns in 3D Point Cloud Data by Leonidas Guiba
- Discrete Curvature Flow for Surfaces and 3-Manifolds by Xiaotian Yin
- Certified Mesh Generation by Jean-Daniel Boissonnat
- Information-Theoretic Algorithms for Diffusion Tensor Imaging by Baba C. Vemuri
- Statistical Computing on Manifolds for Computational Anatomy by Xavier Pennec
- Large-Scale Object Recognition Systems by Cordelia Schmid
- Recovering Shape and Motion from Video Sequences by Pascal Fua
- Computational Geometry from the Viewpoint of Affine Differential Geometry by Matsuzoe Hiroshi
- Unifying Subspace and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification by Dimitris N. Metaxas
- Non-standard Geometries and Data Analysis by Suresh Venkatasubramanian
- Information Geometry and Its Applications by Shun-ichi Amari
- Information Geometry: Duality, Convexity and Divergences by Jun Zhang
- Computational Photography: Epsilon to Coded Imaging by Ramesh Raskar
- The Intrinsic Geometries of Learning by Richard Nock
- Applications of Information Geometry to Radar Signal Processing by Frédéric Barbaresco ( I have mentioned him before here)
- Constant-Working-Space Algorithms for Image Processing by Tetsuo Asano
- Sparse Geometric Super-Resolution by Stephane Mallat
- Sparse Sampling: Variations on a Theme by Shannon by Martin Vetterli
- Image Retrieval via Kullback Divergence of Patches of Wavelets Coefficients in the k-NN Framework by Michel Barlaud
- Machine learning and kernel methods for computer vision by Francis Bach
- 3D Visibility and Lines in Space by Sylvain Lazard
- Procedural Modeling of Architectures: Towards Large Scale Visual Reconstruction by Nikos Paragios
- 3D Video: A Fusion of Graphics and Vision by Markus Gross
Terry Tao is in Spain and posted his presentation on The uniform uncertainty principle and compressed sensing.
Finally, Michael Grant and Stephen Boyd released Version 1.2 of CVX: Matlab Software for Disciplined Convex Programming.
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