Effective Remote Visualization for Large-scale Volume Data by Particle-based Volume Rendering
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- EBARA Yasuo
- Office for Information Infrastructure Design/Cybermedia Center, Osaka University
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- SAKURAI Ken-ichi
- Graduate School of Information Sciences, Tohoku University
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- SONE Hideaki
- Cyberscience Center, Tohoku University
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- SAKAMOTO Naohisa
- Center for the Promotion of Excellence in higher Education, Kyoto University
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- KOYAMADA Koji
- Center for the Promotion of Excellence in higher Education, Kyoto University
Bibliographic Information
- Other Title
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- 粒子ベースボリュームレンダリング手法を用いた大規模ボリュームデータの効率的な遠隔可視化
- リュウシ ベースボリュームレンダリング シュホウ オ モチイタ ダイキボ ボリュームデータ ノ コウリツテキ ナ エンカク カシカ
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Abstract
The demand for the remote visualization has rising in order to construct remote collaborative work environment for working common issues by sharing visualization results of large-scale volmue data between remote places at real time, although the effective technique has not established. In this paper, we have proposed the remote visualization technique using particle-based volume rendering to solve the issues of the bottleneck by the composite processing in distributed visualization. In addition, we have implemented the parallel transmission by TCP as effective transmission of a large amount of data generated by dialogical processing via WAN. From the results of experiments on WAN, we have proved the parallel effect to display a result image of volume data by 5123 grids and the processing time become short by increasing the number of slave in server-side. Moreover, we have realized the reduction of data transmission time by increasing the number of TCP stream.
Journal
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- The Journal of the Institute of Image Electronics Engineers of Japan
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The Journal of the Institute of Image Electronics Engineers of Japan 38 (5), 753-761, 2009
The Institute of Image Electronics Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679587651712
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- NII Article ID
- 130004437801
- 10025522649
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- NII Book ID
- AN00041650
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- ISSN
- 13480316
- 02859831
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- NDL BIB ID
- 10466450
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed