<p>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 g
Variational, Geometric, and Level Set Methods in Computer Vision: Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings (Lecture Notes in Computer Science, 3752)
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β¦ Table of Contents
Frontmatter
A Study of Non-smooth Convex Flow Decomposition
Denoising Tensors via Lie Group Flows
Nonlinear Inverse Scale Space Methods for Image Restoration
Towards PDE-Based Image Compression
Color Image Deblurring with Impulsive Noise
Using an Oriented PDE to Repair Image Textures
Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized {\itshape L}
Structure-Texture Decomposition by a TV-Gabor Model
From Inpainting to Active Contours
Sobolev Active Contours
Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision
Global Minimization of the Active Contour Model with TV-Inpainting and Two-Phase Denoising
Combined Geometric-Texture Image Classification
Heuristically Driven Front Propagation for Geodesic Paths Extraction
Trimap Segmentation for Fast and User-Friendly Alpha Matting
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case
Dynamical Statistical Shape Priors for Level Set Based Sequence Segmentation
Non-rigid Shape Comparison of Implicitly-Defined Curves
Incorporating Rigid Structures in Non-rigid Registration Using Triangular B-Splines
Geodesic Image Interpolation: Parameterizing and Interpolating Spatiotemporal Images
A Variational Approach for Object Contour Tracking
Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking
A Surface Reconstruction Method for Highly Noisy Point Clouds
A {\itshape C}
Solving PDEs on Manifolds with Global Conformal Parametriazation
Fast Marching Method for Generic Shape from Shading
A Gradient Descent Procedure for Variational Dynamic Surface Problems with Constraints
Regularization of Mappings Between Implicit Manifolds of Arbitrary Dimension and Codimension
Lens Distortion Calibration Using Level Sets
Backmatter
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