DocumentCode :
3106061
Title :
Automatic knot determination of NURBS for interactive geometric design
Author :
Xie, Hui ; Qin, Hong
Author_Institution :
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA
fYear :
2001
fDate :
37012
Firstpage :
267
Lastpage :
276
Abstract :
This paper presents a novel modeling technique and develops an interactive algorithm that facilitates the automatic determination of non-uniform knot vectors as well as other control variables for NURBS curves and surfaces through the unified methodology of energy minimization, variational principle, and numerical techniques. Many geometric algorithms have been developed for NURBS during the past three decades. Recently, the optimization principle has been widely studied, which affords designers to interactively manipulate NURBS via energy functionals, simulated forces, qualitative and quantitative constraints, etc. The existing techniques primarily concentrate on NURBS control points. In this paper we further augment our NURBS modeling capabilities by incorporating NURBS´ non-uniform knot sequence into our shape parameter set. The automatic determination of NURBS knots will facilitate the realization of the full geometric potential of NURBS. We also have developed a modeling framework which supports a large variety of functionals ranging from simple quadratic energy forms to non-linear curvature-based (or area-based) objective functionals
Keywords :
computational geometry; computer graphics; minimisation; NURBS; automatic knot determination; control variables; energy functionals; interactive geometric design; modeling framework; modeling technique; objective functionals; quadratic energy forms; unified methodology; variational principle; Algorithm design and analysis; Computer science; Deformable models; Design optimization; Shape control; Solid modeling; Spline; Surface reconstruction; Surface topography; Weight control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Shape Modeling and Applications, SMI 2001 International Conference on.
Conference_Location :
Genova
Print_ISBN :
0-7695-0853-7
Type :
conf
DOI :
10.1109/SMA.2001.923398
Filename :
923398
Link To Document :
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