“Effective Remote Visualization for Large-scale Volume Data by Particle-based Volume Rendering”

Yasuo Ebara, Ken Ichi Sakurai, Hideaki Sone, Naohisa Sakamoto, Koji Koyamada

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)753-761
Number of pages9
JournalJournal of the Institute of Image Electronics Engineers of Japan
Volume38
Issue number5
DOIs
Publication statusPublished - 2009 Jan

Keywords

  • composite processing
  • long-distance network
  • parallelization
  • remote visualization
  • volume rendering

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of '“Effective Remote Visualization for Large-scale Volume Data by Particle-based Volume Rendering”'. Together they form a unique fingerprint.

Cite this