Minimum Description Length Shape and Appearance Models

Hans Henrik Thodberg, C. Taylor et al. (Editor)

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    163 Downloads (Pure)

    Abstract

    The 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.
    Original languageEnglish
    Title of host publicationInformation processing in medical imaging; IPMI 2003 : Lecture notes in computer science, vol. 2732
    PublisherSpringer
    Publication date2003
    Pages51-62
    Publication statusPublished - 2003

    Fingerprint

    Dive into the research topics of 'Minimum Description Length Shape and Appearance Models'. Together they form a unique fingerprint.

    Cite this