DocumentCode :
2480437
Title :
Multiscale Analysis from 1D Parametric Geometric Decomposition of Shapes
Author :
Feschet, Fabien
Author_Institution :
Health & Technol. Lab., Univ. de Clermont, Clermont, France
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
2102
Lastpage :
2105
Abstract :
This paper deals with the construction of a non parametric multiscale analysis from a 1D parametric decomposition of shapes where the elements of the decomposition are geometric primitives. We focus on the case of linear structures in shapes but our construction readily extends to the case of any geometric primitives. One key point of the construction is that it is truly multiscale in the sense that a higher level is a sublevel of a lower one and that it preserves symmetries of shapes. We made some experiments to show the simplification it provides on classical shapes. Results are promising.
Keywords :
computational geometry; statistical analysis; geometric primitives; linear structures; nonparametric multiscale analysis; shape decomposition; Databases; Geometry; Limiting; Measurement; Noise; Robustness; Shape; Multiscale analysis; appearance number; geometric primitives;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.515
Filename :
5595932
Link To Document :
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