SHAPE RECOGNITION BY COMPUTER IN SIMULATED AERIAL IMAGES

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Authors
  1. Cutmore, T.R.H.
Corporate Authors
Defence and Civil Inst of Environmental Medicine, Downsview ONT (CAN)
Abstract
Visual recognition of objects by a machine involves classifying an input using knowledge about the kinds of objects expected in the domain. Model-based systems maintain a knowledge of objects in the domain in the form of a representation which can be compared to the unknown input. Since a given object type may appear in a variety of forms and under a variety of viewing conditions some efficient yet flexible means of guiding the recognition process to consider and then verify the object identity is necessary. The utility of low-resolution shape information to constrain object recognition was investigated in the context of a system which is predicated upon a component description of objects. A computationally intensive prepass using a syntax for combining components yields a universe of "constructions" which are coded into a construction relation feature (CRF) map. TRUNCATED
Keywords
Aerial photographs
Report Number
DCIEM-91-05 — Research Report
Date of publication
15 Jan 1991
Number of Pages
34
DSTKIM No
91-01601
CANDIS No
68806
Format(s):
Hardcopy;Originator's fiche received by DSIS;Document Image stored on Optical Disk

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