DocumentCode :
2461634
Title :
An improved algorithm for algebraic curve and surface fitting
Author :
Taubin, Gabriel
Author_Institution :
IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
fYear :
1993
fDate :
11-14 May 1993
Firstpage :
658
Lastpage :
665
Abstract :
The author describes a new method to improve the algebraic surface fitting process by better approximating the Euclidean distance from a point to the surface. In the past they have used a simple first order approximation of the Euclidean distance from a point to an implicit curve or surface which yielded good results in the case of unconstrained algebraic curves or surfaces, and reasonable results in the case of bounded algebraic curves and surfaces. However, experiments with the exact Euclidean distance have shown the limitations of this simple approximation. Here, a more complex, and better, approximation to the Euclidean distance is introduced from a point to an alegbraic curve or surface. It is shown that this new approximate distance produces results of the same quality as those based on the exact Euclidean distance, and much better than those obtained using other available methods
Keywords :
computational geometry; image reconstruction; surface reconstruction; Euclidean distance; algebraic curve; surface fitting; Buildings; Curve fitting; Euclidean distance; Iterative algorithms; Least squares approximation; Object recognition; Polynomials; Shape; Solid modeling; Surface fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location :
Berlin
Print_ISBN :
0-8186-3870-2
Type :
conf
DOI :
10.1109/ICCV.1993.378149
Filename :
378149
Link To Document :
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