NDLI: Complexity analysis of range image segmentation on MasPar MP-1

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[1992] Proceedings of the 35th Midwest Symposium on Circuits and Systems

[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems

Proceedings of the 33rd Midwest Symposium on Circuits and Systems

Proceedings of the 32nd Midwest Symposium on Circuits and Systems,

Complexity analysis of range image segmentation on MasPar MP-1

Content Provider	IEEE Xplore Digital Library
Author	Ramesh, N. Chaudhary, V.
Copyright Year	1993
Description	Author affiliation: Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA (Ramesh, N.)
Abstract	Many low level vision tasks that are computationally intensive are easily parallelizable. The lack of parallel processing systems, or their prohibitive costs, have prevented the move of vision processing algorithms from single processor systems to multiprocessor systems. With the recent spurt of parallel processing hardware, there is a need to investigate the feasibility of using such machines for some vision algorithms. Speedup is an important factor in determining the feasibility of migration from single processor systems to parallel processors. In this work, we investigate a particular segmentation algorithm and present theoretical speedup results. Our formula can work out numerical speedups by simply plugging in the parameter values.<>
Starting Page	903
Ending Page	906
File Size	434555
Page Count	4
File Format	PDF
ISBN	0780317602
DOI	10.1109/MWSCAS.1993.343214
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-08-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Image segmentation Computer vision Parallel processing Neural networks Computer science Concurrent computing Costs Multiprocessing systems Hardware
Content Type	Text
Resource Type	Article

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