Fast object recognition by parallel image matching on a distributed system

Jia You, W. P. Zhu, H. A. Cohen, E. Pissaloux

Research output: Journal article publicationConference articleAcademic researchpeer-review

2 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)78-85
Number of pages8
JournalIEEE Symposium on Parallel and Distributed Processing - Proceedings
Publication statusPublished - 1 Dec 1995
Externally publishedYes
EventProceedings of the 1995 7th IEEE Symposium on Parallel and Distributed Processing - San Antonio, TX, United States
Duration: 25 Oct 199528 Oct 1995

ASJC Scopus subject areas

  • Engineering(all)

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