期刊文献+

Bézier representation of geometrically continuous splines 被引量:1

Bézier representation of geometrically continuous splines
下载PDF
导出
摘要 As an intrinsic measure of smoothness, geometric continuity is an important problem in the fields of computer aided geo- metric design. It can afford more degrees of freedom for manipulating the shape of curve. However, piecewise polynomial functions of geometrically continuous splines are difficult to be constructed. In this paper, the conversion matrix between geometrically con- tinuous spline basis functions and Bezier representation is analyzed. Based on this, construction of arbitrary degree geometrically continuous spline basis functions can be translated into a solution of linear system of equations. The original construction of geomet- rically continuous spline is simplified. As an intrinsic measure of smoothness, geometric continuity is an important problem in the fields of computer aided geo- metric design. It can afford more degrees of freedom for manipulating the shape of curve. However, piecewise polynomial functions of geometrically continuous splines are difficult to be constructed. In this paper, the conversion matrix between geometrically con- tinuous spline basis functions and Bezier representation is analyzed. Based on this, construction of arbitrary degree geometrically continuous spline basis functions can be translated into a solution of linear system of equations. The original construction of geomet- rically continuous spline is simplified.
出处 《Computer Aided Drafting,Design and Manufacturing》 2012年第1期40-43,共4页 计算机辅助绘图设计与制造(英文版)
基金 Supported by NSFC (No.61100129) Long-span Building Construction Research Project (No.40006014201101)
关键词 geometric continuity Bezier basis functions conversion matrixs geometric continuity Bezier basis functions conversion matrixs
  • 相关文献

参考文献3

二级参考文献20

  • 1王国瑾.高次Ball曲线及其几何性质[J].高校应用数学学报,1987,2(1):126-140.
  • 2Ball A.A.CONSURF,part 1:Introduction to conic lofting title.Computer Aided Design,1974,6(4):243-249.
  • 3Ball A.A.CONSURF,part 2:Description of algorithm.Computer Aided Design,1975,7(4):237-242.
  • 4Ball A.A.CONSURF,part 3:How the program is used.Computer Aided Design,1977,9(1):9-12.
  • 5Hu S.M.et a1.Properties of two types of generalized Ball curves.Computer Aided Design,1996,28(2):125-133.
  • 6Phien H.N.,Dejdumrong N.Efficient algorithms for Bezier curves.Computer Aided Geometric Design,2000,17(3):247-250.
  • 7Wang Guo-Jin,Cheng Min.New algorithms for evaluating parametric surface.Progress in Natural Science,2001,11(2):142 -148.
  • 8Lane J.M.,Riesenfeld R.F.A theoretical development for thecomputer generation and display of piecewise polynomial surfaces.IEEE Transactions on Pattern Analysis and Machine Intelligence,1980,2(1):35-46.
  • 9Wang,G J,Wang G Z,Zheng J M.Computer aided geometric design[]..2001
  • 10Piegl L,Tiller W.The NURBS book[]..1997

共引文献2

同被引文献16

  • 1FENG Ren-zhong,XU Liang.Large Scattered Data Fitting Based on Radial Basis Functions[J].Computer Aided Drafting,Design and Manufacturing,2007,17(1):66-72. 被引量:2
  • 2Y. Meyer, Oscilating Patterns in Image Processing and Nonlinear Evolution Equations [C] // Proceedings of the Fifteenth Dean Jacqueline B. Lewis Memorial Lectures, Boston, MA, USA: American Mathematical Society, 2010.
  • 3N. Sprljan, M. Mrak, and E. lzquierdo. Image compression using a cartoon-texture decomposition technique [C] // Proceedings of Int. Work. on Image Analysis for Multimedia Interactive Services(WIAMIS), 2004: 91.
  • 4Ji Xiuhua, Zhang Caiming, Wang Kai. A Fast Two-Dimension 4x4 Inverse Integer Transform Algorithm for Real-time H.264 Decoder [J]. International Journal of Innovative Computing, Information and Control, 2009, 5(3).
  • 5W. Yin, D. Goldfarb, and S. Osher. Image cartoon + texture decomposition and feature selection using the total variation regularized L1 functional [C] // Proceedings of Lecture Notes in Computer Science, 2005, 3752/2005: 73 -84.
  • 6F. Zhang, X. Ye, and W. Liu. Image decomposition and texture segmentation via sparse representation [J]. Signal Processing Letters, IEEE, 2008, 15: 641-644.
  • 7D. Mumford and J. Shah. Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems [J] Mathematics. Communications on Pure and Applied 1989, 42(5): 577-685.
  • 8D. Mumford and J. Shah. Optimal approximations by piecewise smooth functions and associated variational problems [J]. Comm. Pure Appl. Math., 1989, 42(5):577-685.
  • 9L. Rudin, S. Osher, and E. Fatemi. Nonlinear total variation based noise removal algorithms [J]. Physical D, 1992, 60(1-4): 259-268.
  • 10A. Buades, T. Le, J. M. Model, and L. Vese. Fast cartoon + texture image filters [J]. IEEE Transactions on Image Processing, 2010, 19(8): 1978-1986.

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部