DocumentCode
2838529
Title
An efficient geometric curve fitting technique
Author
Yu, W.H.W. ; Cheng, Huang Ue
Author_Institution
Dept. of Electron. Eng., Chung Yuan Christian Univ., Chung-Li, Taiwan
fYear
1989
fDate
22-24 Nov 1989
Firstpage
960
Lastpage
963
Abstract
B-spline is a technique to trace out a smooth curve using a simple function and a set of control points. However, functional computation is usually more computationally costly than simple addition or multiplication. The Bezier method is more efficient as it is based on the geometric approach. The weakness of the Bezier method is its not passing through the control points. A geometric method is developed where a smooth, open or closed curve can be generated passing through all the control points. A weighting factor is introduced for variable curvature control of the curve to be generated. The number of points generated by the proposed method is 2N-1*(K-1), where K is the number of control points given, and N is the number of iterative steps taken
Keywords
curve fitting; geometry; mathematics computing; Bezier method; control points; efficient geometric curve fitting technique; functional computation; geometric approach; geometric method; iterative steps; smooth curve; variable curvature control; weighting factor; Computer graphics; Curve fitting; Ink; Interpolation; Iterative algorithms; Iterative methods; Joining IEEE; Spline;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '89. Fourth IEEE Region 10 International Conference
Conference_Location
Bombay
Type
conf
DOI
10.1109/TENCON.1989.177090
Filename
177090
Link To Document