Fast object recognition by parallel image matching on a distributed system

Author

You, J. ; Zhu, W.P. ; Cohen, H.A. ; Pissaloux, E.

Author_Institution

Sch. of Comput. & Inf. Sci., South Australia Univ., The Levels, SA, Australia

fYear

1995

fDate

25-28 Oct 1995

Firstpage

78

Lastpage

85

Abstract

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

Keywords

image matching; image processing; object recognition; parallel machines; distributed system; divide-and-conquer method; heavily iterated computation; hierarchical matching; image feature pixels; image processing; object recognition; parallel image matching; parallel machines; workstation clusters; Clustering algorithms; Computer vision; Image edge detection; Image matching; Information science; Object recognition; Parallel machines; Parallel processing; Pixel; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

San Antonio, TX

ISSN

1063-6374

Print_ISBN

0-81867195-5

Type

conf

DOI

10.1109/SPDP.1995.530668

Filename

530668