Minimum Description Length Shape and Appearance Models

Hans Henrik Thodberg; C. Taylor et al.

Minimum Description Length Shape and Appearance Models

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

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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 language	English
Title of host publication	Information processing in medical imaging; IPMI 2003 : Lecture notes in computer science, vol. 2732
Publisher	Springer
Publication date	2003
Pages	51-62
Publication status	Published - 2003

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title = "Minimum Description Length Shape and Appearance Models",

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.",

keywords = "Image Segmentation, Minimum Description Length, Point Correspondence Problem, Appearance Models, Unsupervised Vision, Shape Modelling",

author = "Thodberg, {Hans Henrik} and {Taylor et al.}, C.",

year = "2003",

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AB - 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.

KW - Image Segmentation

KW - Minimum Description Length

KW - Point Correspondence Problem

KW - Appearance Models

KW - Unsupervised Vision

KW - Shape Modelling

M3 - Article in proceedings

SP - 51

EP - 62

BT - Information processing in medical imaging; IPMI 2003

PB - Springer

ER -

Minimum Description Length Shape and Appearance Models

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