Ebook: Variational, Geometric, and Level Set Methods in Computer Vision: Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005. Proceedings

Mathematical methods has been a dominant research path in computational vision leading to a number of areas like ?ltering, segmentation, motion analysis and stereo reconstruction. Within such a branch visual perception tasks can either be addressed through the introduction of application-driven geometric ?ows or through the minimization of problem-driven cost functions where their lowest potential corresponds to image understanding. The 3rd IEEE Workshop on Variational, Geometric and Level Set Methods focused on these novel mathematical techniques and their applications to c- puter vision problems. To this end, from a substantial number of submissions, 30 high-quality papers were selected after a fully blind review process covering a large spectrum of computer-aided visual understanding of the environment. The papers are organized into four thematic areas: (i) Image Filtering and Reconstruction, (ii) Segmentation and Grouping, (iii) Registration and Motion Analysis and (iiii) 3D and Reconstruction. In the ?rst area solutions to image enhancement, inpainting and compression are presented, while more advanced applications like model-free and model-based segmentation are presented in the segmentation area. Registration of curves and images as well as multi-frame segmentation and tracking are part of the motion understanding track, while - troducing computationalprocessesinmanifolds,shapefromshading,calibration and stereo reconstruction are part of the 3D track. We hope that the material presented in the proceedings exceeds your exp- tations and will in?uence your research directions in the future. We would like to acknowledge the support of the Imaging and Visualization Department of Siemens Corporate Research for sponsoring the Best Student Paper Award.

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This book constitutes the refereed proceedings of the Third International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2005, held in Beijing, China in October 2005 within the scope of ICCV 2005, the International Conference on Computer Vision.

The 30 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections and sub-sections as follows: image filtering and reconstruction - image enhancement, inpainting and compression; segmentation and grouping - model-free and model-based segmentation; registration and motion analysis - registration of curves and images, multi-frame segmentation; 3D and reconstruction - computational processes in manifolds, shape from shading, calibration and stereo reconstruction.

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This book constitutes the refereed proceedings of the Third International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2005, held in Beijing, China in October 2005 within the scope of ICCV 2005, the International Conference on Computer Vision.

The 30 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections and sub-sections as follows: image filtering and reconstruction - image enhancement, inpainting and compression; segmentation and grouping - model-free and model-based segmentation; registration and motion analysis - registration of curves and images, multi-frame segmentation; 3D and reconstruction - computational processes in manifolds, shape from shading, calibration and stereo reconstruction.

Content:
Front Matter....Pages -
A Study of Non-smooth Convex Flow Decomposition....Pages 1-12
Denoising Tensors via Lie Group Flows....Pages 13-24
Nonlinear Inverse Scale Space Methods for Image Restoration....Pages 25-36
Towards PDE-Based Image Compression....Pages 37-48
Color Image Deblurring with Impulsive Noise....Pages 49-60
Using an Oriented PDE to Repair Image Textures....Pages 61-72
Structure-Texture Decomposition by a TV-Gabor Model....Pages 73-84
From Inpainting to Active Contours....Pages 85-96
Sobolev Active Contours....Pages 97-108
Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration....Pages 109-120
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision....Pages 121-136
Global Minimization of the Active Contour Model with TV-Inpainting and Two-Phase Denoising....Pages 137-148
Combined Geometric-Texture Image Classification....Pages 149-160
Heuristically Driven Front Propagation for Geodesic Paths Extraction....Pages 161-172
Trimap Segmentation for Fast and User-Friendly Alpha Matting....Pages 173-185
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case....Pages 186-197
Dynamical Statistical Shape Priors for Level Set Based Sequence Segmentation....Pages 198-209
Non-rigid Shape Comparison of Implicitly-Defined Curves....Pages 210-221
Incorporating Rigid Structures in Non-rigid Registration Using Triangular B-Splines....Pages 222-234
Geodesic Image Interpolation: Parameterizing and Interpolating Spatiotemporal Images....Pages 235-246
A Variational Approach for Object Contour Tracking....Pages 247-258
Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking....Pages 259-270
A Surface Reconstruction Method for Highly Noisy Point Clouds....Pages 271-282
Solving PDEs on Manifolds with Global Conformal Parametriazation....Pages 283-294
Fast Marching Method for Generic Shape from Shading....Pages 295-306
A Gradient Descent Procedure for Variational Dynamic Surface Problems with Constraints....Pages 307-319
Regularization of Mappings Between Implicit Manifolds of Arbitrary Dimension and Codimension....Pages 320-331
Lens Distortion Calibration Using Level Sets....Pages 332-343
Back Matter....Pages 344-355
....Pages 356-367