Minimum Description Length Shape and Appearance Models

Hans Henrik Thodberg

AbstractThe Minimum Description Length (MDL) approach to shape modelling is reviewed. It solves the point correspondence problem of selecting points
on shapes defined as curves so that the points correspond across a data set. An efficient numerical implementation is presented and made available as open source Matlab code. The problems with the early MDL approaches are discussed. Finally the MDL approach is extended to an MDL Appearance Model, which is proposed as a means to perform unsupervised image segmentation.
KeywordsShape Modelling, Minimum Description Length, Appearance Models, Point Correspondence Problem, Unsupervised Vision, Image Segmentation
TypeConference paper [With referee]
ConferenceProceedings of Information Processing in Medical Imaging (IPMI 2003) ,
EditorsC. Taylor and J. A. Noble
SeriesLecture Notes In Computer Science (LNCS) 2732
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics