吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (2): 625-632.doi: 10.13229/j.cnki.jdxbgxb20161210

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Improved feature-adaptive subdivision for Catmull-Clark surface model

LIN Jin-hua1, WANG Yan-jie2, SUN Hong-hai3   

  1. 1.School of Applied Technology, Changchun University of Technology, Changchun 130012, China;
    2.Department of Mechanical and Electronic Engineering,Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;
    3.Dayan Institute, University of Chinese Academy of Sciences, Changchun 130033, China
  • Received:2016-11-10 Online:2018-03-01 Published:2018-03-01

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Abstract: In order to solve the problem of over-subdivision of Fast Adaptive Segmentation (FAS) algorithm, a dynamic adaptive feature subdivision method is proposed. First, the Feature Processing Unit (FPU) is constructed to generate the dynamic subdivision factor for the irregular block. The subdividing depth of the feature block is calculated and the irregular block of the feature region is refined according to the Catmull-Clark subdivision rule. Then, the number of blocks is controlled for Graphics Processing Unit (GPU), the block buffer and subdivision table are established to deal with each level of the same type of blocks in parallel, which improves the speed of subdivision and rendering. Finally, the data structure of the traditional FAS is expanded to generate new subdivision tables and drawing tables, which support the dynamic subdivision and real-time rendering of blocks. Experiment results show that the structures of the improved subdivision table and rendering table can guarantee the dynamic feature of the subdivision and the real-time rendering. Compared with the traditional FAS, the proposed method can ensure the drawing accuracy of 3D surface model, and increase the drawing speed by 28%, which is better in real-time performance than traditional FAS.

Key words: information processing technology, feature-adaptive subdivision, graphic process unit (GPU), subdivision, render

CLC Number: 

  • TP391
[1] Niessner M, Loop C, Meyer M.Feature-adaptive GPU rendering of Catmull-Clark subdivision surfaces [J].ACM Transactions on Graphics, 2012, 31(1): 1-11.
[2] Doo D, Sabin M.Behaviour of recursive division surface near extraordinary points[J].Computer-Aided Design, 1978, 10(6): 356-360.
[3] Loop C, Schaefer S.Approximating Catmull-Clark subdivision surfaces with bicubic patches[J].ACM Transactions on Graphics, 2008, 27(1): 1-11.
[4] Stam J.Exact evaluation of Catmull-Clark subdivision surfaces at arbitrary parameter values[C]∥ Proceedings of SIGGRAPH,New York,NY,USA,1998:395-404.
[5] Niessner M, Loop C, Greiner G.Efficient evaluation of semi-smooth creases in Catmull-Clark subdivision surfaces [C]∥Eurographics Proceedings, Cagliari, 2012:41-44.
[6] Catmull E, Clark J.Recursively generated B-spline surfaces on arbitrary topological meshes[J].Computer-aided Design, 1978, 10(6): 350-355.
[7] Niesser M, Loop C.Analytic displacement mapping using hardware tessellation[J].ACM Transactions on Graphics, 2013, 32(3): 1-9.
[8] Schafer H, Niessner M, Keinert B.State of the art report on real-time rendering with hardware tessellation[C]∥ Eurographics, Strasbourg, France, 2014: 93-117.
[9] 黄韵岑, 冯洁青.表驱动的细分曲面GPU绘制[J].计算机辅助设计与图形学学报,2014,26(10):1567-1575.
Huang Yun-cen, Feng Jie-qing.Mapping driving subdivision surface upon GPU rendering[J].Journal of Computer-Aided Design & Computer Graphics, 2014, 26(10):1567-1575.
[10] Deng C, Ma W.A unified interpolatory subdivision scheme for quadrilateral meshes[J].ACM Transactions on Graphics, 2013, 32(3): 1-10.
[11] 李桂清.细分曲面造型及应用[D].北京:中国科学院计算技术研究所, 2001.
Li Gui-qing.The modeling and application method to subdivision surface[D].Beijing: Institute of Computer Technology, Chinese Academy of Sciences, 2001.
[12] Schafer H,Keinert B, Niessner M.Local painting and deformation of meshes on the GPU[J].Computer Graphics Forum, 2015, 34(1): 26-35.
[13] Yuan Ya-zhen, Wang Rui, Huang Jin.Simplified and tessellated mesh for realtime high quality rendering[J].Computer and Graphics, 2016, 54(10): 135-144.
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