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Fast object recognition by parallel image matching on a distributed system

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4 Author(s)
You, J. ; Sch. of Comput. & Inf. Sci., South Australia Univ., The Levels, SA, Australia ; Zhu, W.P. ; Cohen, H.A. ; Pissaloux, E.

Image matching based on image feature pixels involves heavily iterated computation and frequent memory access. The key to increase the speed is to employ parallelism on either parallel machines or workstation clusters. This paper presents the development of a parallel image matching system which uses a divide-and-conquer method to implement the proposed hierarchical matching scheme on a networked workstation cluster. Our investigation shows that a distributed workstation cluster can best meet the demand of high computation and memory access in image processing. The performance of our proposed matching scheme is evaluated in terms of execution time

Published in:

Parallel and Distributed Processing, 1995. Proceedings. Seventh IEEE Symposium on

Date of Conference:

25-28 Oct 1995