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