Guest Editorial: Special Issue on Variational and Level Set Methods in Computer Vision
Orthonormal Vector Sets Regularization with PDE's and Applications
A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
Using Prior Shapes in Geometric Active Contours in a Variational Framework
Variational Methods for Multimodal Image Matching
A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis
Guest Introduction: The Changing Shape of Computer Vision in the Twenty-First Century
Visual Estimation and Compression of Facial Motion Parameters—Elements of a 3D Model-Based Video Coding System
Motion-Based Video Representation for Scene Change Detection
Modeling and Animating Realistic Faces from Images
Natural Language Description of Human Activities from Video Images Based on Concept Hierarchy of Actions
Rendering by Manifold Hopping
View-Invariant Representation and Recognition of Actions
Towards Active Machine-Vision-Based Driver Assistance for Urban Areas
Bayesian Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting
Isophotes Selection and Reaction-Diffusion Model for Object Boundaries Estimation