DocumentCode
748465
Title
Image understanding architecture: exploiting potential parallelism in machine vision
Author
Weems, Charles C. ; Riseman, Edward M. ; Hanson, Allen R.
Author_Institution
Massachusetts Univ., Amherst, MA, USA
Volume
25
Issue
2
fYear
1992
Firstpage
65
Lastpage
68
Abstract
A hardware architecture that addresses at least part of the potential parallelism in each of the three levels of vision abstraction, low (sensory), intermediate (symbolic), and high (knowledge-based), is described. The machine, called the image understanding architecture (IUA), consists of three different, tightly coupled parallel processors; the content addressable array parallel processor (CAAPP) at the low level, the intermediate communication associative processor (ICAP) at the intermediate level, and the symbolic processing array (SPA) at the high level. The CAAPP and ICAP levels are controlled by an array control unit (ACU) that takes its directions from the SPA level. The SPA is a multiple-instruction multiple-data (MIMD) parallel processor, while the intermediate and low levels operat in multiple modes. The CAAPP operates in single-instruction multiple-data (SIMD) associative or multiassociative mode, and the ICAP operates in single-program multiple-data (SPMD) or MIMD mode.<>
Keywords
computer vision; computerised picture processing; parallel architectures; parallel machines; ACU; CAAPP; ICAP; IUA; MIMD; SIMD; SPA; SPMD; array control unit; content addressable array parallel processor; hardware architecture; image understanding architecture; intermediate communication associative processor; machine vision; multiple-instruction multiple-data; parallel processor; single-instruction multiple-data; single-program multiple-data; symbolic processing array; tightly coupled parallel processors; vision abstraction; Application software; Cameras; Computer architecture; Computer vision; Image analysis; Machine vision; Parallel processing; Pixel; Prototypes; Streaming media;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/2.121476
Filename
121476
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