@CONFERENCE\{IMM2003-02973,
    author       = "H. H. Thodberg",
    title        = "Minimum Description Length Shape and Appearance Models",
    year         = "2003",
    keywords     = "Shape Modelling, Minimum Description Length, Appearance Models, Point Correspondence Problem, Unsupervised Vision, Image Segmentation",
    booktitle    = "Proceedings of Information Processing in Medical Imaging ({IPMI} 2003) ,",
    volume       = "",
    series       = "Lecture Notes In Computer Science (LNCS) 2732",
    editor       = "C. Taylor and J. A. Noble",
    publisher    = "Springer",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/2973-full.html",
    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."
}