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The Use of Grouping in Visual Object Recognition.

Author(s)
Jacobs, David W.
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Abstract
The report describes a recognition system called GROPER, which performs grouping by using distance and relative orientation constraints that estimate the likelihood of different edges in an image coming from the same object. The thesis presents both a theoretical analysis of the grouping problem and a practical implementation of a grouping system. GROPER also uses an indexing module to allow it to make use of knowledge of different objects, any of which might appear in an image. We test GROPER by comparing it to a similar recognition system that does not use grouping.
Date issued
1988-01-01
URI
http://hdl.handle.net/1721.1/6967
Other identifiers
AITR-1023
Series/Report no.
AITR-1023

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  • AI Technical Reports (1964 - 2004)

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