2014 Fiscal Year Annual Research Report
| Project/Area Number |
14J00837
|
|---|
| Research Institution | Kyoto University |
|---|
Principal Investigator |
趙 コン 京都大学, 国際高等教育院, 特別研究員(DC2)
|
|---|
| Project Period (FY) |
2014-04-25 – 2016-03-31
|
| Keywords | visualization / volume data / volume rendering / time-varying / multi-variate / medical visualization / oceanography |
|---|
| Outline of Annual Research Achievements |
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.
|
| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
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.
|
| Strategy for Future Research Activity |
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.
|
Research Products
(9 results)
-
-
-
-
-
-
[Presentation] Fused Visualization for Large-scale Blood Flow Dataset2014
Author(s)
Kun Zhao, Naohisa Sakamoto, Koji Koyamada
Organizer
The 2014 International Conference on Life System Modeling and Simulation (LSMS2014) and 2014 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE2014)
Place of Presentation
Shanghai, China
Year and Date
2014-09-20 – 2014-09-23
-
-
-
