Abstract
For two given point sets, we present a very simple (almost trivial) algorithm to translate one set so that the Hausdorff distance between the two sets is not larger than a constant factor times the minimum Hausdorff distance which can be achieved in this way. The algorithm just matches the so-called Steiner points of the two sets. The focus of our paper is the general study of reference points (like the Steiner point) and their properties with respect to shape matching. For more general transformations than just translations, our method eliminates several degrees of freedom from the problem and thus yields good matchings with improved time bounds.
Original language | English |
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Pages (from-to) | 349-363 |
Number of pages | 15 |
Journal | International Journal of Computational Geometry and Applications |
Volume | 7 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1997 |
Keywords
- Approximation algorithms
- Hausdorff distance
- Pattern matching
- Selectors
- Steiner point
ASJC Scopus subject areas
- Theoretical Computer Science
- Geometry and Topology
- Computational Theory and Mathematics
- Computational Mathematics
- Applied Mathematics