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一种大曲率线状实体的三维可视化方法 被引量:1

A 3D visualization method for high-curvature linear entity
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摘要 线状模型是虚拟三维场景中的重要模型,其精细程度直接影响着虚拟场景的视觉效果。制作线状模型的常用方法分为整体模型法和分段拼接法,对于弯曲程度较大的线状模型,使用整体模型法制作时难以控制顶点坐标和纹理贴图,而采用分段拼接法又会在转弯处产生模型空隙和纹理重叠,导致模型失真。该文提出了一种针对大曲率线状实体的三维可视化方法,在几何模型制作阶段,根据路径和截面数据直接计算模型顶点坐标、法向量和索引数据,实现放样建模;在纹理贴图阶段,通过建立模型顶点与纹理图片像素的映射关系,实现模型贴图。结果表明,该算法可应用于铁路路基等大曲率线状模型的制作,具有精度可靠、人工交互少及可视化效果好的特点。 The linear model is among the vital models in 3D visual scene, and its degree of fineness determines the visual effect of the scene. Common methods for constructing linear models can be divided into integral model method and spliced model method;nevertheless, for large-curvature linear models, neither method is ideal. The vertex coordinates and texture mapping are difficult to control when the integral model method is employed, and space between models and texture overlaps is inevitable when the other methods are used. A 3D visualization method for high-curvature linear entity is proposed in this paper. In the phase of geometric modeling, the vertex coordinates, normal vectors and index data are calculated for model lofting based on path and cross section. In the phase of texture mapping, textures are made by creating a mapping between vertices on the model and pixels on the photo. The results show that the algorithm can be utilized to make large -curvature linear models like railway roadbed models, and the algorithm has the merits of high accuracy, requirement of less manual work and good visual effect.
出处 《国土资源遥感》 CSCD 北大核心 2014年第3期43-47,共5页 Remote Sensing for Land & Resources
关键词 线状模型 三维可视化 大曲率线状实体 3D-GIS 3 D-GIS linear model 3 D visualization high-curvature linear entity
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  • 1费立凡,何津,马晨燕,颜辉武.3维Douglas-Peucker算法及其在DEM自动综合中的应用研究[J].测绘学报,2006,35(3):278-284. 被引量:47
  • 2Gao Peichao, Liu Zhao, Xie Meihui, et al. The Develop- ment of and Prospects for Private Cloud GIS in China[ J]. Asian Journal of Geoinformatics, 2014, 14(4) : 30-38.
  • 3Douglas D H, Peucker T K. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature [ J ]. The Canadian Cartographer, 1973, 10 (2) : 112-122.
  • 4Mcmaster R B. Automated line generalization[ J ]. Carto- graphica: The International Journal for Geographic Information and Geovisualization, 1987, 24(2): 74-111.
  • 5Chuon C, Guha S, Janecek P, et al. Simplipoly: Curva- ture-based polygonal curve simplification [ J ] International Jour- nal of Computational Geometry & Applications, 2011, 21 (4) : 417-429.
  • 6Yue Jianwei, Wang Jun, Wang Bin. A fast method of smoothing vector graph converted from raster image [ J ]. The In- ternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2008, XXXVII(B7) : 943-945.
  • 7Perez J, Vidal E. Optimum polygonal approximation of digitized curves [ J ]. Pattern Recognition Letters, 1994, 15 (8) : 743 -750.
  • 8Gorman G J, Piggott M D, Pain C C. Shoreline approxi- mation for unstructured mesh generation[ J]. Computers & Geo- sciences, 2007, 33 (5) : 666-677.
  • 9纪洋,武文波,杨晓伟.等高线自动矢量化的后处理[J].辽宁工程技术大学学报(自然科学版),2008,27(A01):37-39. 被引量:4
  • 10朱强,武芳,翟仁健.基于通视性原理的等高线化简算法研究[J].中国图象图形学报,2009,14(2):359-364. 被引量:5

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