Guest Editorial: Special Issue on Variational and Level Set Methods in Computer Vision Nikos Paragios Editorial Board Pages: 235 - 235
Orthonormal Vector Sets Regularization with PDE's and Applications David TschumperléRachid Deriche OriginalPaper Pages: 237 - 252
A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples Jong Chul YeYoram BreslerPierre Moulin OriginalPaper Pages: 253 - 270
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model Luminita A. VeseTony F. Chan OriginalPaper Pages: 271 - 293
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional Daniel CremersFlorian TischhäuserChristoph Schnörr OriginalPaper Pages: 295 - 313
Using Prior Shapes in Geometric Active Contours in a Variational Framework Yunmei ChenHemant D. TagareEdward A. Geiser OriginalPaper Pages: 315 - 328
Variational Methods for Multimodal Image Matching Gerardo HermosilloChristophe Chefd'HotelOlivier Faugeras OriginalPaper Pages: 329 - 343
A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis Nikos Paragios OriginalPaper Pages: 345 - 362