TY - GEN
T1 - Real-time image processing on IEEE1394-based PC cluster
AU - Yoshimoto, H.
AU - Arita, D.
AU - Taniguchi, R.
PY - 2001
Y1 - 2001
N2 - In this paper we introduce a new real-time parallel image processing system based on an IEEE1394-based PC-cluster. PC-clusters are becoming standard tools in the field of computer vision, especially for real-time multi-view image processing. To reduce the cost of system construction, we have employed IEEE1394 bus as a base network of the PC-cluster. IEEE1394 bus has the throughput of up to 400Mbps, which is large enough to transfer uncompressed video data, and supports not only asynchronous data transfer but isochronous one, which is inevitable for real-time data transfer. In addition, since we have several products of IEEE1394-based digital cameras, we can easily integrate real-time image processing system including camera systems. This paper presents an overview of our real-time parallel image processing system on an IEEE1394-based PC-cluster, referring to basic features of IEEE1394. We also show some experimental results to evaluate the performance of the PC-cluster, comparing it with the performance of our previous Myrinet-based PC-cluster. Then we show a prototypical application of the system, which is real-time volume reconstruction from multi-view images by visual cone intersection method.
AB - In this paper we introduce a new real-time parallel image processing system based on an IEEE1394-based PC-cluster. PC-clusters are becoming standard tools in the field of computer vision, especially for real-time multi-view image processing. To reduce the cost of system construction, we have employed IEEE1394 bus as a base network of the PC-cluster. IEEE1394 bus has the throughput of up to 400Mbps, which is large enough to transfer uncompressed video data, and supports not only asynchronous data transfer but isochronous one, which is inevitable for real-time data transfer. In addition, since we have several products of IEEE1394-based digital cameras, we can easily integrate real-time image processing system including camera systems. This paper presents an overview of our real-time parallel image processing system on an IEEE1394-based PC-cluster, referring to basic features of IEEE1394. We also show some experimental results to evaluate the performance of the PC-cluster, comparing it with the performance of our previous Myrinet-based PC-cluster. Then we show a prototypical application of the system, which is real-time volume reconstruction from multi-view images by visual cone intersection method.
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U2 - 10.1109/IPDPS.2001.925090
DO - 10.1109/IPDPS.2001.925090
M3 - Conference contribution
AN - SCOPUS:84981252326
T3 - Proceedings - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001
SP - 1177
EP - 1183
BT - Proceedings - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001
Y2 - 23 April 2001 through 27 April 2001
ER -