Informatics Report Series



Related Pages

Report (by Number) Index
Report (by Date) Index
Author Index
Institute Index

Title:A Probabilistic Approach to Robust Shape Matching and Part Decomposition
Authors: Graham McNeill ; Sethu Vijayakumar
Date:Jan 2006
We present a probabilistic approach to shape matching which is invariant to rotation, translation and scaling. Shapes are represented by unlabeled point sets, so discontinuous boundaries and non-boundary points do not pose a problem. Occlusions, significant dissimilarities between shapes and image clutter are explained by a `background model' and hence, their impact on the overall match is limited. By simultaneously learning a part decomposition of both shapes, we are able to successfully match shapes that differ as a result of independent part transformations -- a form of variation common amongst real objects of the same class. The effectiveness of the matching algorithm is demonstrated using the benchmark MPEG-7 data set and real images.
Links To Paper
1st Link
Bibtex format
author = { Graham McNeill and Sethu Vijayakumar },
title = {A Probabilistic Approach to Robust Shape Matching and Part Decomposition},
year = 2006,
month = {Jan},
url = {},

Home : Publications : Report 

Please mail <> with any changes or corrections.
Unless explicitly stated otherwise, all material is copyright The University of Edinburgh