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RPV-II: A Stream-Based Real-Time Parallel Vision System and Its Application to Real-Time Volume Reconstruction

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Computer Vision Systems (ICVS 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2095))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Intelligent Systems, Kyushu University, 6-1 Kasuga-koen, Kasuga, Fukuoka, 816-8580, Japan

    Daisaku Arita & Rin-ichiro Taniguchi

Authors
  1. Daisaku Arita
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  2. Rin-ichiro Taniguchi
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Editor information

Editors and Affiliations

  1. ETH Zentrum, IFW B26.1, 8092, Zürich, Switzerland

    Bernt Schiele

  2. Technische Fakultät, Angewandte Informatik, Universität Bielefeld, Postfach 100 131, 33501, Bielefeld, Germany

    Gerhard Sagerer

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© 2001 Springer-Verlag Berlin Heidelberg

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Arita, D., Taniguchi, Ri. (2001). RPV-II: A Stream-Based Real-Time Parallel Vision System and Its Application to Real-Time Volume Reconstruction. In: Schiele, B., Sagerer, G. (eds) Computer Vision Systems. ICVS 2001. Lecture Notes in Computer Science, vol 2095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48222-9_12

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  • DOI: https://doi.org/10.1007/3-540-48222-9_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42285-3

  • Online ISBN: 978-3-540-48222-2

  • eBook Packages: Springer Book Archive

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