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特征保持的大规模点云曲面自由变形 被引量:2

Detail-preserving deformation for large-scale point set surface
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摘要 针对大规模点云模型,提出一种简略图的表示方式,记为ObbGraph,在此基础上,给出一种特征保持的大规模点云曲面的变形方法.该方法首先针对大规模点云曲面建立ObbGraph结构,然后通过对ObbGraph的变形来驱动原始点云模型的变形.ObbGraph的建立基于OBBTree的构建以及有向包围盒的相交测试,ObbGraph的变形则通过非线性优化每个节点的仿射变换而实现,原始点云模型的变形由ObbGraph每个节点的仿射变换的线性组合得到.通过约束每个节点的仿射变换尽量为刚体变换,能够较好地保持原始模型的特征.实验结果表明,对于大规模点云曲面的变形,该方法计算简单、速度快,能够较好地保持几何特征,是一种行之有效的方法. A reduced graph representation,ObbGraph,for large-scale point set surface was proposed.Based on this representation,an efficient and detail-preserving method for point set deformation was also presented.The method firstly embeds the point set with an ObbGraph structure,which is based on the construction of OBBTree and the intersection algorithm of oriented box.The deformation of point set is then implemented by the linear combination of each node's affine transformation of the embedded ObbGraph.The affine transformation of the ObbGraph is obtained by a non-linear optimization.As the affine transformation of each graph node is constrained to be as rigid as possible,the detail of the original point set is properly preserved.Experimental results show that this method is fast and can effectively implement the deformation of the large scale point set with detail preservation.
出处 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2010年第1期34-40,共7页 Journal of Zhejiang University:Engineering Science
基金 国家"973"重点基础研究发展规划资助项目(2009CB320804) 国家自然科学基金资助项目(60703001) 浙江省自然科学基金资助项目(Y1090597)
关键词 ObbGraph 大规模点云 细节保持变形 ObbGraph large-scale point set detail-preserving deformation
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  • 1肖春霞,冯结青,缪永伟,郑文庭,彭群生.基于Level Set方法的点采样曲面测地线计算及区域分解[J].计算机学报,2005,28(2):250-258. 被引量:16
  • 2杨振羽,郑文庭,彭群生.一般点模型的交互式布尔运算[J].计算机辅助设计与图形学学报,2005,17(5):954-961. 被引量:5
  • 3Cohen-Steiner D, Alliez P, Desbrun M. Variational shape approximation [J]. ACM Transactions on Graphics, 2004, 23 (3) : 905-914
  • 4Funkhouser T, Kazhdan M, Shilane P, et al. Modeling by example [ C ] //Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, Los Angeles, CA, 2004 : 652-663
  • 5Karni Z, Gotsman C. Spectral compression of mesh geometry [ C ] //Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, New Orleans, 2000:279-286
  • 6Zhang Y, Paik J, Koschan A, et al. A simple and efficient algorithm for part decomposition of 3-D triangulated models based on curvature analysis[C] //IEEE International Conference on Image Processing, Rochester, NY, 2002 : 267-273
  • 7Liu R, Zhang H, Segmentation of 3D meshes through spectral clustering[ C] //Proceedings of the Computer Graphics and Applications, 12th Pacific Graphics, Seoul, 2004:298-305
  • 8Katz S, Tal A. Hierarchical mesh decomposition using fuzzy clustering and cuts [ C ] //Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, San Diego, 2003 : 954-961
  • 9Dey T K, Giesen J, Goswami S, Shape segmentation and matching with flow discretization [ M ] //Lecture Notes in Computer Science. Heidelberg: Springer, 2003, 2478:25-36
  • 10Dey T K, Giesen J, Goswami S. Shape segmentation and matching from noisy point clouds [ C ] //Proceedings of Eurographics Symposium on Point-Based Graphics, Zurich, 2004 : 193-199

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  • 1刘晖,向世明,陈睿,李华.三维扫描网格的合并和优化[J].计算机工程与应用,2004,40(29):28-31. 被引量:7
  • 2邹北骥,申煜湘,彭群生.局部包络片控制误差简化三角网格模型[J].电子学报,2005,33(5):798-803. 被引量:2
  • 3陈飞舟,陈志杨,丁展,叶修梓,张三元.基于径向基函数的残缺点云数据修复[J].计算机辅助设计与图形学学报,2006,18(9):1414-1419. 被引量:35
  • 4陈为,马瑞金,郑文庭,梁潇,彭群生.基于OBB树的无网格几何数据处理[J].计算机学报,2007,30(2):330-336. 被引量:5
  • 5Besl P J, McKay N D. A method for registration of 3-D shapes[J] .IEEE Transactions on Pattern Analysis and Machince In- telligence, 1992, 14 (2) : 239 - 256.
  • 6Turk G, Levoy M. Zippered polygon meshes from range images [A]. Proceedings of the 21st Annual Conference on Computer Graphics and Interactive Techniques [ C ]. New York: ACM, 1994.311 -318.
  • 7Yu Y, Zhou K, Xu D, et al. Mesh editing with Poisson-based gradient field manipulation[ J]. ACM Transaction on Graphics, 2004,23(3) :644 - 651.
  • 8Sorkine O. Differential representations for mesh processing[ J]. Computer Graphics Forum, 2006,25(4) : 789 - 807.
  • 9Sharf A, Blumenkrants M, Shamir A, et al. SnapPaste: An in- teractive technique for easy mesh composition[ J ]. The Visual Computer, 2006,22 (9) : 835 - 844.
  • 10Gottschalk S, Lin M C, Manocha D. OBBTree: A hierarchical structure for rapid interference detection[ A ]. Proceedings of the 23rd Annual Conference on Computer Graphics and Inter- active Techniques[ C] .New York: ACM, 1996. 171- 180.

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