DocumentCode :
3166538
Title :
Extrema Detection of Bivariate Spline Functions
Author :
Kano, Hiroyuki ; Fujioka, Hiroyuki ; Martin, Clyde F.
Author_Institution :
Tokyo Denki Univ., Saitama
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
4351
Lastpage :
4356
Abstract :
In this paper, we develop a systematic method for detecting the extrema of bivariate spline functions and of their derivatives. It is assumed that the splines are constituted by employing normalized, uniform B-splines as the basis functions, and the detection procedure fully utilizes the spline properties. All the extrema can be found except those with singular Hessian matrix. By numerical examples, we demonstrate the effectiveness of the method.
Keywords :
Hessian matrices; splines (mathematics); bivariate spline functions; extrema detection; singular Hessian matrix; uniform B-splines; Cities and towns; Computational efficiency; Control systems; Convergence; Digital images; Image edge detection; Probability distribution; Smoothing methods; Spline; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
ISSN :
0743-1619
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2007.4282607
Filename :
4282607
Link To Document :
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