大規模時系列ボリュームデータの可視化

大规模时间序列体数据可视化

• 批准号: 14J00837
• 负责人: 趙 コン
• 金额: $ 1.41万
• 依托单位: Kyoto University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for JSPS Fellows
• 财政年份: 2014
• 资助国家: 日本
• 起止时间: 2014-04-25 至 2016-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-14J00837/
• 关键词: visualizaton; time-varying; volume data; scattered data; tsunami; correlation; large-scale; visualization; volume rendering; multi-variate; medical visualization; oceanography

Time-varying visualization is always a challenging problem. In this year, I have mainly conducted the researches in the visualization of large-scale time-varying 3D scattered data, and the analysis of the cross correlation of the time-varying volume data. The 3D scattered data always has a very complex structure, and the volume rendering effect is also required in the visualization, which can also regarded as a time-varying volume visualization problem. To solve this, I have proposed an interactive particle-based rendering method to visualize the time-varying 3D scattered data with a high speed and good image quality. This technique was applied to the tsunami simulation data, which are located in Ishinomaki city and the Fukushima Daiichi Nuclear Power Station. The results verified the efficiency of the proposed method. On the other hand, I also performed the cross correlation analysis of the heated sphere large-scale volume data. The correlation between two parameters was analyzed to find the causality of them. Then the interactive particle-based rendering was applied to visualize the analysis result. As the experimental results, the correlation between two parameters were visualized very clearly and efficiently. As the research achievements, 3 international conference papers and 3 domestic conference paper have been published in this year. I also submitted a paper to an international journal and now is waiting for the results.

时变可视化一直是一个具有挑战性的问题。本年度主要开展了大规模时变三维散乱数据可视化、时变体数据互相关分析等方面的研究。三维散乱数据往往具有非常复杂的结构，可视化时也需要体绘制效果，这也可以视为一个时变体可视化问题。为了解决这个问题，我提出了一个交互式的基于粒子的渲染方法来可视化的速度和良好的图像质量随时间变化的三维散乱数据。该技术被应用于海啸模拟数据，这是位于石卷市和福岛第一核电站。结果验证了该方法的有效性。另一方面，还对加热球大规模体数据进行了互相关分析。分析两个参数之间的相关性，找出它们之间的因果关系。然后采用交互式粒子绘制技术对分析结果进行可视化。实验结果表明，两个参数之间的相关性非常清晰和有效。 本年度已发表国际会议论文3篇，国内会议论文3篇。我还向一家国际期刊提交了一篇论文，现在正在等待结果。

项目成果

Visualization of Tsunami Simulation Data with Particle-based Rendering

使用基于粒子的渲染实现海啸模拟数据的可视化

• 发表时间: 2015
• 作者: Kun Zhao;Satoshi Nakada;Naohisa Sakamoto;Koji Koyamada;Kohei Murotani;Seiichi Koshizuka
• 通讯作者: Seiichi Koshizuka

Adaptive Fused Visualization for Large-scale Blood Flow Dataset with Particle-based Rendering

基于粒子渲染的大规模血流数据集的自适应融合可视化

• DOI: 10.1007/s12650-014-0260-z
• 发表时间: 2015
• 期刊: Journal of Visualization
• 影响因子: 1.7
• 作者: Kun Zhao;Naohisa Sakamoto;Koji Koyamada
• 通讯作者: Koji Koyamada

Volume Rendering for 3D Scattered data with Interactive Particle-based Rendering

使用基于交互式粒子的渲染进行 3D 分散数据的体渲染

• 发表时间: 2015
• 作者: Kun Zhao;Naohisa Sakamoto;Koji Koyamada;Satoshi Tanaka;Kohei Murotani;Seiichi Koshizuka
• 通讯作者: Seiichi Koshizuka

流体中を運動する球まわりの伝熱の可視化

流体中运动的球体周围传热的可视化

• 发表时间: 2014
• 作者: 高見円仁;趙コン;坂本尚久;小山田耕二
• 通讯作者: 小山田耕二

Adaptive Fused Visualization for Large-scale Blood Flow Datasets with Particle-based Rendering

使用基于粒子的渲染实现大规模血流数据集的自适应融合可视化

• 发表时间: 2014
• 作者: Kun Zhao;Naohisa Sakamoto;Koji Koyamada
• 通讯作者: Koji Koyamada