Variational, Geometric, and Level Set Methods in Computer Vision计算机视觉的变化、几何和水平放置方法

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Image Filtering and Reconstruction
A Study of Non-smooth Convex Flow Decomposition
Denolsmg’lensors 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 L1 Functional
Structure-Texture Decomposition by a TV-Gabor Model
Segmentation and Grouping
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
Registration and Motion Analysis
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
3D and Reconstruction
Author Index