RPV-II: A stream-based real-time parallel vision system and its application to real-time volume reconstruction

Daisaku Arita, Rin Ichiro Taniguchi

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


In this paper, we present RPV-II, a stream-based real-time parallel image processing environment on distributed parallel computers, or PC-cluster, and its performance evaluation using a realistic application. The system is based on our previous PC-cluster system for real-time image processing and computer vision, and is designed to overcome the problems of our previous system, one of which is long latency when we use pipelined structures. This becomes a serious problem when we apply the system to interactive applications. To make the latency shorter, we have introduced stream data transfer, or fine grained data transfer, to RPV-II. One frame data is divided into small elements such as pixels, lines and voxels, and we have developed efficient real-time data transfer mechanism of those. Using RPV-II we have developed a real-time volume reconstruction system by visual volume intersection method, and we have measured the system performance. Experimental results show better performance than that of our previous system, RPV.

Original languageEnglish
Pages (from-to)174-189
Number of pages16
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 2001

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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