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球面坐标下的凸组合球面参数化 被引量:7

Convex Combination Spherical Parameterization Using Spherical Coordinates
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摘要 球面参数化是一种应用价值很广的几何参数化方法.对于封闭且亏格为零的三角形网格,该文提出了一种新的球面参数化方法.通过引入多个球面坐标覆盖,在球面坐标系下,用凸组合方法,得到了接近线性的球面参数化求解方法.与已有的直角坐标系下的凸组合参数化方法相比,该文所提出的方法大大降低了求解方程组的非线性程度,因此求解时间大幅度降低.此外,还避免了直角坐标系下求解的多种退化情况.最后,给出了实验结果,并对凸组合球面参数化中存在的几个问题进行了讨论. Parameterization is the key step in digital geometry processing. And spherical parameterization is an important parameterization approach with broad application. The solution cost of convex combination spherical parameterization using Cartesian coordinates is very expensive because it needs to solve a high nonlinear equation group. In this paper, a new spherical parameterization method for closed and genus-zero mesh is presented. By importing several spherical coordinates cover, convex combination under spherical coordinates is used to calculate spherical parameterization, which only needs to solve a quasi-linear equation group. Compared to other convex combination spherical parameterization method using Cartesian coordinates, this approach lowers the nonlinear extent, and the solution time decreases greatly. Moreover, several degenerate cases under Cartesian coordinates are avoided, such as point lies in the opposite side of the sphere, since there is no quadratic term using spherical coordinates. The shortcoming brought by this method is that the result is a little un-uniform along longitude. The mesh near the equation is apt to be denser than the mesh near the poles. At the end of this paper, several problems in convex combination spherical parameterization are discussed and experiment results are given. This spherical parameterization method can be used in the consistent mesh construction.
出处 《计算机学报》 EI CSCD 北大核心 2005年第6期927-932,共6页 Chinese Journal of Computers
基金 国家自然科学基金(60225016 60333010) 教育部博士点基金(20020003051) 国家"九七三"重点基础研究发展规划项目基金(2002CB312101)资助.
关键词 球面参数化 凸组合 球面坐标 三角网格 数字几何处理 Computational geometry Graph theory Spheres
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参考文献15

  • 1Alexa M.Merging polyhedral shapes with scattered features. The Visual Computer, 2000, 16(1~2): 26~37
  • 2Yan Han-Bing, Hu Shi-Min, Martin R.R. Morphing based on strain field interpolation. Journal of Visualization and Computer Animation, 2004, 15(3~4): 443~452
  • 3Praun E., Sweldens W., Schroder P. Consistent mesh parameterizations. In: Proceedings of Siggraph 2001, Los Angeles, USA, 2001, 179~184
  • 4Gu X., Gortler S., Hoppe H. Geometry images. In: Proceedings of Siggraph 2002, San Antonio, USA, 2002, 355~361
  • 5Levy B. Constrained texture mapping for polygonal meshes. In: Proceedings of Siggraph 2001, Los Angeles, USA, 2001, 417~424
  • 6Maillot J., Yahia H., Verroust A. Interactive texture mapping. In: Proceedings of Siggraph 1993, 1993, 27~34
  • 7Floater M.S. Parametrization and smooth approximation of surface triangulations. Computer Aided Geometric Design, 1997, 14(3): 231~250
  • 8Floater M.S. Mean value coordinates. Computer Aided Geometric Design, 2003, 20(1): 19~27
  • 9Haker S., Angnent S. Conformal surface parameterization for texture mapping. IEEE Transactions on Visualization and Computer Graphics, 2000, 6(2): 1~9
  • 10胡国飞,方兴,彭群生.凸组合球面参数化[J].计算机辅助设计与图形学学报,2004,16(5):632-637. 被引量:13

二级参考文献33

  • 1[1]Kobbelt L, Taubin G. Geometric signal processing on large polyhedral meshes. In: SIGGRAPH'2001 Course Notes, Course 17, Los Angeles, California, 2001
  • 2[2]Sweldens W, Schroder P. Digital geometric signal processing.In:SIGGRAPH'2001 Course Notes, Course 50, Los Angeles, California, 2001
  • 3[3]Wei L Y, Levoy M. Texture synthesis over arbitrary manifold surfaces. In: Proc SIGGRAPH'2001, Los Angeles, California, 2001.355-360
  • 4[4]Pauly M, Gross M. Spectral processing of point-sampled geometry. In: Proc SIGGRAPH'2001, Los Angeles, California, 2001. 379-386
  • 5[5]Schroder P, Sweldens W. Spherical wavelets: Efficiently representing functions on the sphere. In:Proc SIGGRAPH'95, Los Angeles, California, 1995.161-172
  • 6[6]Taubin G. A signal processing approach to fair surface design. In:Proc SIGGRAPH'95, Los Angeles, California, 1995. 351-358
  • 7[7]Karni Z, Gotsman C. Spectral compression of mesh geometry. In:Proc SIGGRAPH'2000, New Orleans, Louisana, 2000. 279-286
  • 8[8]Kobbelt L, Campagna S, Vosatz J et al. Interactive multiresolution modeling on arbitrary meshes. In: Proc SIGGRAPH'98, Orlando, Florida, 1998. 105-114
  • 9[9]Guskov I, Sweldens W, Schroder P. Multiresolution signal processing for meshes. In: Proc SIGGRAPH'99, Los Angeles, California,1999. 325-334
  • 10[10]Lounsbery M, DeRose T, Warren J. Multiresolution analysis for surfaces of arbitrary topological types. ACM Trans Graphics, 1997, 16(1):34-73

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