An MIMD computing platform for a hierarchical foveal machine vision system

Author

Du, Fenglei ; Izatt, AndreW ; Bandera, Cesar

Author_Institution

Amherst Syst. Inc., Buffalo, NY, USA

fYear

1996

fDate

18-20 Jun 1996

Firstpage

720

Lastpage

725

Abstract

A multiple instruction multiple data (MIMD) parallel computing platform built upon a network of TMS320C40/44s (C40/C44) for real-time image processing of a hierarchical foveal machine vision (HFMV) system is described in this paper. The architecture of the system, the parallel algorithm development environment, and strategies to map tasks into the computing platform are described. The platform supports both static and dynamic computing resource allocation. The performance of the computing platform is illustrated by examples

Keywords

computer vision; image processing; parallel algorithms; real-time systems; resource allocation; MIMD computing platform; TMS320C40/44s; dynamic computing resource allocation; hierarchical foveal machine vision system; parallel algorithm; performance; real-time image processing; static computing resource allocation; Computer architecture; Computer vision; Concurrent computing; Image processing; Machine vision; Mobile robots; Navigation; Parallel algorithms; Real time systems; Visual perception;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on

Conference_Location

San Francisco, CA

ISSN

1063-6919

Print_ISBN

0-8186-7259-5

Type

conf

DOI

10.1109/CVPR.1996.517152

Filename

517152