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