Title :
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
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;
Conference_Titel :
Parallel and Distributed Processing, 1995. Proceedings. Seventh IEEE Symposium on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-81867195-5
DOI :
10.1109/SPDP.1995.530668
