| 研究実績の概要 |
The visualization for time-varying volume data from the time-dependent simulations could have many important applications. However, due to the large data size and highly complex structure, the visualization for time-varying volume data is always a challenging problem. In this year, I first implemented a special compression method, which can compress the large-scale time-varying volume data into a much smaller data size based on the spatio-temporal features. Secondly, I implemented an adaptive particle-based rendering (A-PBR), which combined particle-based volume rendering (PBVR) and stochastic projected tetrahedra (SPT) together to render the large-scale time-varying volume data. With this technique, the rendering for large-scale time-varying volume data was performed smoothly with a high quality. These proposed visualization techniques were applied to the water mass visualization, blood flow visualization and scallop distribution visualization. As the research results, 3 journal papers, 4 international conference papers and 1 domestic conference paper have been published in this year.
|
| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
My research objective is to build an efficient time-varying visualization system for the large-scale time-varying volume data. In this year, I have proposed several visualization techniques for the large-scale time-varying volume data and applied these techniques to many cases to achieve efficient visualization for time-varying volume data. The experimental results and the user feedbacks show the efficiency of the proposed techniques. Several challenging problems in the scientific research fields are solved. The research results were published in several journal papers, international conference papers and domestic conference papers. As a result, the research in this year was conducted very smoothly.
|
| 今後の研究の推進方策 |
Currently, several visualization techniques for the large-scale time-varying volume data have been proposed and the application for ocean data to search the good fishery spot ("smart fish") has already been implemented. As the future work, I will combine the proposed visualization techniques and build the time-varying visualization system to visualize the large-scale time-varying volume data. This system will be applied to numerous time-varying volume data to achieve the efficient visualization. Nowadays, more and more time-varying volume data can be found in many different scientific fields. For different kind of data, different approaches may be needed. I will also implement and add new approaches to the time-varying visualization system so that more and more time-varying volume data can be handled. Moreover, I plan to submit and present all the research achievements to many journals and domestic and international conferences.
|
