DocumentCode
2304391
Title
An Improved Algorithm for Surface Fitting Based on B Spline Function
Author
Wang, Zhan ; Yu, Jun ; Su, Bida ; Xie, Xiaodan
Author_Institution
Sch. of Sci., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear
2011
fDate
25-27 April 2011
Firstpage
80
Lastpage
82
Abstract
The B spline function is widely applied for the data processing, such as computer graphics, artificial intelligence and other enginging. In this paper, by using the B spline basic function, an explicit form of 3-order C-B spline basic function is presented based on integral recurrence formula of the C-B spline basic. And an improved algorithm is given for surface fitting combined with least squares theory. The numerical examples indicated that in the case of consistently accuracy, the improved C-B spline fitting algorithm can save as 70% computing time as the B spline fit algorithm at least.
Keywords
least squares approximations; splines (mathematics); surface fitting; 3-order C-B spline basic function; B-spline function; least squares theory; surface fitting algorithm; Accuracy; Bismuth; Equations; Fitting; Manganese; Spline; Surface fitting; B spline function; C-B spline function; numerical analysis; surface fitting;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Computing (ICIC), 2011 Fourth International Conference on
Conference_Location
Phuket Island
Print_ISBN
978-1-61284-688-0
Type
conf
DOI
10.1109/ICIC.2011.35
Filename
5954508
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