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基于点的造型中如何计算采样点的法向量 被引量:2

A Normal Vector Computing Algorithm in the Point-Based Modeling
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摘要 随着三维扫描技术的迅速发展,以及大量采样点数达百万数量级的高精度模型的产生,使得基于点的绘制技术逐渐成为热点。文章介绍了一种在基于点的造型中不必经过三角化,由采样点直接计算法向量的方法。该方法首先找到当前点周围的临近采样点;然后,根据最小二乘法由这些临近点近似计算当前点所在位置的切平面;最后,将切平面的法向量作为当前采样点的近似法向量。试验表明,该方法可以快速有效地计算采样点的法向量。 With the development of 3D-scanning technology and the appearance of large amount of high-precision modeling,the traditional geometric rending method can not meet the need of real time rending,So the technology of Point-Based Rending is becoming the new hotspot.In this paper,a normal vector computing algorithm is proved which needn't the triangles.Firstly,the nearly ones around the points should be found out.Secondly,it computes the tangent plane on the point's position approximatively using the least-squares algorithm with the around points.Lastly,it uses the normal vector of the tangent plane as the one of the point.The experience shows that the normal vectors of the sampling points can be figured out rapidly.
作者 王会芹
机构地区 东华大学理学院
出处 《计算机工程与应用》 CSCD 北大核心 2006年第4期84-86,共3页 Computer Engineering and Applications
关键词 基于点的造型 法向量 最小二乘算法 切平面 point-based modeling,normal vector,least-squares algorithm,tangent plane
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参考文献5

  • 1M Levoy,T Whitted.The Use of Points as Display Primitives[R]. Technical Report TR 85-022 ,The University of North Carolina at Chapel Hill,Department of Computer Science,1985.
  • 2S Rusinkiewicz, M Levoy.QSplat : A Multiresolution Point Rendering System for Large Meshes[C].In :Computer Graphics,SIGGRAPH 2000 Proceedings,Los Angeles,CA,2000-07.
  • 3Levoy M,Pulli K,Curless B et al.The Digital Michelangelo Project: 3D Scanning of Large Statues[C].In :Proc SIGGRAPH,2000.
  • 4H Pfister,M Zwicker,J van Baar et al.Surfels:Surface Elements as Rendering Primitives[C].In:Computer Graphics,SIGGRAPH 2000 Proceedings,Los Angeles, CA, 2000-07 : 335-342.
  • 5Donald Hearn,M Pauline Baker.Computer Graphics with OpenGL[M]. Thid Edition,2004 : 825-827.

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  • 2COHEN I, MEDIONI G. Detecting and tracking moving objects for video surveillance [C] // Computer Vision and Pattern Recognition. Fort Collins CO: IEEE, 1999 : 678 - 682.
  • 3BESSON S J, BARLAUD M, AUBERT G. Detection and tracking of moving objects using a new level set based method [C]// Proceedings of the 15th International Conference on Pattern Recognition. Barcelona: IEEE, 2000: 1100 - 1105.
  • 4OSHER S, SETHIAN J. Fronts propagating with curvature dependent speed: algorithm based on the Hamiltom-Jacobi formulation [J]. Journal of Computational Physics, 1988, 79(1): 12-49.
  • 5XU Yi, YU Hui-min. Contour-based motion segmentation using few priors [C]/// The 8th International Conference on Signal Processing. Guitin: IEEE, 2006: 1376-1379.
  • 6徐艺.基于PDEs的运动目标检测与轮廓跟踪算法研究[D].杭州:浙江大学,2006.
  • 7FEGHALI R, MITICHE A. Spatiotemporal motion boundary detection and motion boundary velocity estimation for tracking moving objects with a moving camera: a level sets PDEs approach with concurrent camera motion compensation [J]. Image Processing, 2004, 13 (11) : 1473 - 1490.
  • 8ZHU W, CHANT. Stability for shape comparison model [R]. Los Angeles: University of California, 2003.
  • 9HUANG Xiao lei, PARAGIOS N, METAXAS D N. Shape registration in implicit spaces using information theory and free form deformations [J]. Pattern Analysis and Machine Intelligence, 2006, 28(8): 1303 - 1318.
  • 10HORN B K P, SCHUNCK B G. Determining optical flow [J]. Artificial Intelligence, 1981, 17(1-3) : 185 - 203.

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