DocumentCode :
1533486
Title :
A new one-parametric fitting method for planar objects
Author :
Voss, Klaus ; Suesse, Herbert
Author_Institution :
Dept. of Comput. Sci., Friedrich-Schiller-Univ., Jena, Germany
Volume :
21
Issue :
7
fYear :
1999
fDate :
7/1/1999 12:00:00 AM
Firstpage :
646
Lastpage :
651
Abstract :
This paper is an extension of the already published paper by Voss and Suesse (1997). We developed a new region-based fitting method using the method of normalization. There we demonstrated the zero-parametric fitting of lines, triangles, parallelograms, circles, and ellipses. We discuss this normalization idea for fitting of closed regions using circular segments, elliptical segments, and super-ellipses. As features, we use the area-based low order moments. We show that we have to solve only one-dimensional optimization problems in these cases
Keywords :
curve fitting; method of moments; optimisation; pattern recognition; canonical frame; ellipses; low order moments; normalization; optimization; parametric fitting; planar objects; region-based fitting; Extraterrestrial measurements; Least squares approximation; Least squares methods; Multidimensional systems; Parameter estimation; Prototypes; Shape;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.777376
Filename :
777376
Link To Document :
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