节点文献

基于GPU的海量离散点高程并行插值算法

A GPU-based elevation parallel interpolation algorithm for massive discrete points

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 王智广张腾畅吴相锦鲁强

【Author】 WANG Zhi-guang;ZHANG Teng-chang;WU Xiang-jin;LU Qiang;Beijing Key Laboratory of Petroleum Data Mining, China University of Petroleum-Beijing;Department of Computer Science and Technology, China University of Petroleum-Beijing;CNPC Beijing Richfit Information Technology Co.,LTD.;

【机构】 中国石油大学(北京)石油数据挖掘北京市重点实验室中国石油大学(北京)计算机科学与技术系北京中油瑞飞信息技术有限责任公司

【摘要】 提出一种基于GPU的高程并行插值算法,实现了对三维地表上海量离散点的并行加速渲染。通过高程纹理组织三维地表网格高程数据作为离散点渲染的基础,并通过GLSL编写GPU着色器程序动态控制图形渲染管线,实现视点相关的高程并行插值算法。实验结果表明,提出的基于GPU的高程并行插值算法较传统的内存插值算法,将三维地表上海量离散点的渲染量级从百万级提高到了千万级。

【Abstract】 A GPU-based elevation parallel interpolation algorithm is proposed, which realizes the parallel accelerated rendering of discrete points on the three-dimensional surface. The algorithm orga-nizes the three-dimensional surface grid elevation data through the elevation texture as the basis of discrete point rendering, and uses GLSL to write GPU shader programs to dynamically control the graphics rendering pipeline, so as to realize the parallel elevation interpolation algorithm related to the viewpoints. The experimental results indicate that, compared with the traditional memory interpolation algorithm, the GPU-based elevation parallel interpolation algorithm improves the rendering magnitude of discrete points on the three-dimensional surface from one million to ten million.

【基金】 国家重点研发计划(2019YFC0312003);国家科技重大专项(2017ZX05018-005)
  • 【文献出处】 计算机工程与科学 ,Computer Engineering & Science , 编辑部邮箱 ,2021年04期
  • 【分类号】TP751
  • 【下载频次】123
节点文献中: 

本文链接的文献网络图示:

本文的引文网络