Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics (2004)
| Venue: | FOUNDATIONS OF COMPUTATIONAL MATHEMATICS |
| Citations: | 67 - 14 self |
BibTeX
@ARTICLE{Charpiat04approximationsof,
author = {Guillaume Charpiat and Olivier Faugeras and Renaud Keriven},
title = {Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics},
journal = {FOUNDATIONS OF COMPUTATIONAL MATHEMATICS},
year = {2004},
volume = {5},
pages = {1--58}
}
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Abstract
This paper proposes a framework for dealing with several problems related to the analysis of shapes. Two related such problems are the definition of the relevant set of shapes and that of defining a metric on it. Following a recent research monograph by Delfour and Zolesio [11], we consider the characteristic functions of the subsets of R² and their distance functions. The L² norm of the difference of characteristic functions, the L # and the W norms of the difference of distance functions define interesting topologies, in particular the well-known Hausdorff distance. Because of practical considerations arising from the fact that we deal with







