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结合等值面绘制与体绘制的电磁环境可视化方法

吴玲达 郝利云 冯晓萌 杨超 于荣欢

吴玲达, 郝利云, 冯晓萌, 等 . 结合等值面绘制与体绘制的电磁环境可视化方法[J]. 北京航空航天大学学报, 2017, 43(5): 887-893. doi: 10.13700/j.bh.1001-5965.2016.0366
引用本文: 吴玲达, 郝利云, 冯晓萌, 等 . 结合等值面绘制与体绘制的电磁环境可视化方法[J]. 北京航空航天大学学报, 2017, 43(5): 887-893. doi: 10.13700/j.bh.1001-5965.2016.0366
WU Lingda, HAO Liyun, FENG Xiaomeng, et al. Combining isosurface rendering and volume rendering for method of electromagnetic environment visualization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(5): 887-893. doi: 10.13700/j.bh.1001-5965.2016.0366(in Chinese)
Citation: WU Lingda, HAO Liyun, FENG Xiaomeng, et al. Combining isosurface rendering and volume rendering for method of electromagnetic environment visualization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(5): 887-893. doi: 10.13700/j.bh.1001-5965.2016.0366(in Chinese)

结合等值面绘制与体绘制的电磁环境可视化方法

doi: 10.13700/j.bh.1001-5965.2016.0366
基金项目: 

国家自然科学基金 61202129

详细信息
    作者简介:

    吴玲达, 女, 博士, 研究员。主要研究方向:多媒体与虚拟现实技术

    郝利云, 男, 博士研究生。主要研究方向:数据可视化

    通讯作者:

    吴玲达, E-mail:wld@nudt.edu.cn

  • 中图分类号: TP391

Combining isosurface rendering and volume rendering for method of electromagnetic environment visualization

Funds: 

National Natural Science Foundation of China 61202129

More Information
  • 摘要:

    为提高现有的电磁环境三维可视化效果,提出一种将等值面绘制融合到光线投射体绘制中的网格投影算法。将等值面网格化,利用空间网格表现等值面并融合进体绘制生成的电磁环境图像中。将平面均匀网格平行投影到电磁环境体数据中具有同一数据值的数据采样点上,由此生成网格化的等值面。投影到体数据中的网格沿投射光线的反方向确定其对应于光线投射生成图像上的像素点,并将网格颜色值融合到此像素点中,实现融合绘制电磁环境。在统一计算设备架构(CUDA)下并行实现本文算法后,不仅电磁环境的绘制效果比融合前有提升,而且更新绘制速度能够达到实时,支持用户实时交互控制。

     

  • 图 1  网格投影到空间曲面

    Figure 1.  Projecting grid to a curved space surface

    图 2  均匀网格投影到数据场

    Figure 2.  Projecting inerratic grid to data volume

    图 3  离散网格投影与光线投射的关系

    Figure 3.  Relationship between discrete grid projecting and ray-casting

    图 4  融合等值面绘制的结果对比

    Figure 4.  Comparing results of fusion isosurface rendering

    图 5  不同参数下的融合绘制结果

    Figure 5.  Results of fusion rendering with different parameters

    图 6  不同观察视角下算法的执行时间统计

    Figure 6.  Algorithm execution time statistics under different viewpoints

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出版历程
  • 收稿日期:  2016-05-04
  • 录用日期:  2016-06-02
  • 刊出日期:  2017-05-20

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