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