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Proceedings Paper

POPS: parallel opportunistic photointerpretation system
Author(s): Michael D. Howard
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Paper Abstract

Photointerpretation is a computationally expensive process. An opportunistic knowledge-based approach to the problem has been developed and proven effective for target recognition on the ground and in the air. The system hypothesizes about the identity of regions in an image based on their geometric and intensity properties. Each region looks for support for its interpretation based on its spatial relationships with other hypotheses. In this paper parallel implementation using a supporting spatial representation on an eight node Hypercube (a coarse-grained, local memory, message passing machine) is described. The algorithm would be equally suitable for a local area network of workstations. A quadtree data structure representing each image region can be compactly and efficiently coded into a few integers; hence, passing regions between computer nodes becomes a reasonable algorithmic device.

Paper Details

Date Published: 1 August 1991
PDF: 6 pages
Proc. SPIE 1471, Automatic Object Recognition, (1 August 1991); doi: 10.1117/12.44898
Show Author Affiliations
Michael D. Howard, Hughes Research Labs. (United States)

Published in SPIE Proceedings Vol. 1471:
Automatic Object Recognition
Firooz A. Sadjadi, Editor(s)

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