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  1. Research Outputs

A Global Method for Reducing Multidimensional Size Graphs

Conference Paper
Publication Date:
2011
Short description:
A Global Method for Reducing Multidimensional Size Graphs / A., C., P., F., W. G., K., Landi, C.. - STAMPA. - 6658:(2011), pp. 1-11. (8th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2011 Munster, deu MAY 18-20, 2011) [10.1007/978-3-642-20844-7_1].
abstract:
This paper introduces the concept of discrete multidimensionalsize function, a mathematical tool studying the so-called sizegraphs. These graphs constitutes an ingredient of Size Theory, a geometrical/topological approach to shape analysis and comparison. A globalmethod for reducing size graphs is presented, together with a theoremstating that size graphs reduced in such a way preserve all the informationin terms of multidimensional size functions. This approach can leadto simplify the effective computation of discrete multidimensional sizefunctions, as shown by examples.
Iris type:
Relazione in Atti di Convegno
Keywords:
size function; multidimensional measuring function; descent flow operator
List of contributors:
A., Cerri; P., Frosini; W. G., Kropatsch; Landi, Claudia
Authors of the University:
LANDI Claudia
Handle:
https://iris.unimore.it/handle/11380/695093
Book title:
GRAPH-BASED REPRESENTATIONS IN PATTERN RECOGNITION
Published in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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