期刊文献+

基于二元混合有理插值的形状渐变方法

Shape Morphing Method Based on Bivariate Blending Rational Interpolation
下载PDF
导出
摘要 为实现多个多边形间的平滑自然渐变,提出基于二元混合向量值有理插值的非线性二维形状渐变方法。将多个多边形的顶点坐标作为平面域上的向量,利用二元Newton-Thiele型向量连分式建立有理插值曲面,通过对插值曲面进行重采样得到一系列渐变中间多边形。实验结果表明,该方法具有计算精度高、适应性强、易于编程实现的特点。 In order to realize metamorphosis among series of polygons, this paper presents a non-linear 2D shape morphing method based on bivariate blending vector rational interpolation. It makes the vertex coordinate of series of polygons as vector on plane domain, builds rational interpolation surface by bivariate Newton-Thiele vector continued fraction, and series of metamorphosis polygons are generated by resembling the surface of this interpolation function. Experimental results show that this method has the high precision of calculation, strong adaptation and easiness of programming.
出处 《计算机工程》 CAS CSCD 北大核心 2010年第17期226-227,231,共3页 Computer Engineering
基金 安徽高等学校省级优秀青年人才基金资助项目(2009SQRZ102 2010SQRL093) 2009年安徽建筑工业学院青年专项基金资助项目 安徽省教育厅自然科学基金资助项目(KJ2010B050)
关键词 向量值有理插值 多边形渐变 向量连分式 vector value rational interpolation polygon morphing vector continued fraction
  • 相关文献

参考文献7

  • 1李环,周帅锋,覃征.多不动点约束下的网格变形算法[J].计算机工程,2009,35(10):25-26. 被引量:6
  • 2Zhang Yuefeng.A Fuzzy Approach to Digital Image Warping[J].IEEE Computer Graphics and Applications,1996,16(4):34-41.
  • 3Liu Ligang,Wang Guopu.Perceptually Based Approach for Planar Shape Morphing[C] //Proc.of the 12th Pacific Conference on Computer Graphics and Applications.[S.1.] :IEEE Press,2004.
  • 4韦东兴,陈晓云,徐荣聪.基于角点检测的图像形状特征提取方法[J].计算机工程,2010,36(4):220-222. 被引量:15
  • 5Sederberg T W,Gao P.2D Shape Blending:An Intrinsic Solution to the Vertex Path Problem[J].Computer Graphics,1993,27(2):5-8.
  • 6Alexa M,Cohen O D,Levin D.As-rigid-as-possible Shape Interpolation[C] //Proc.of the 27th Annual Conference on Computer Graphics and Interactive Techniques.New York,USA:ACM Press,2000.
  • 7Tan Jieqing,Fang Yi.Newton-thiele's Rational Interpolation[J].Numerical Algorithms,2000,24(1-2):141-157.

二级参考文献10

  • 1Sederberg T W, Parry S R. Free-form Deformation of Solid Geometric Models[J]. Computer Graphics, 1986, 20(4): 151 - 160.
  • 2Coquillart S. Extended Free-form Deformation: A Sculpturing Tool for 3D Geometric Modeling[J]. Computer Graphics, 1990, 24(4): 187-193.
  • 3Lamousin H J, Waggesnspack W N. NURBS-based Free-form Deformation[J]. IEEE Computer Graphics and Its Aplications, 1994, 14(6): 59-65.
  • 4牛立新 刘旭敏 王功明.基于空间八叉剖分的面聚类网格简化算法.计算机工程,2007,33(20):228-238.
  • 5Zhang Dengsheng, Lu Guojun. Review of Shape Representation and Description Techniques[J]. Pattern Recognition, 2004, 37(1): 1-19.
  • 6Niennattrakul V, Ratanamahatana C A. Clustering Multimedia Data Using Time Series[C]//Proc. of International Conference on Hybrid Information Technology. Island, Korea: [s. n.], 2006.
  • 7Gandhi A. Content-based Image Retrieval: Plant Species Identification[EB/OL]. (2002-09-27). http://web.engr.Oregonstate.edu/ %7Etgd/leaves/dataset.htm.
  • 8Mikolajczyk K, Leibe B, Schiele B. Local Features for Object Class Recognition[C]//Proc. of the 10th IEEE International Conference on Computer Vision. Beijing, China: IEEE Press, 2005.
  • 9冈萨雷斯.数字图像处理[M].北京:电子工业出版社,2005.
  • 10裘镇宇,危辉.基于Freeman链码的边缘跟踪算法及直线段检测[J].微型电脑应用,2008,24(1):17-20. 被引量:14

共引文献19

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