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An optimal sensing strategy for recognition and localization of 3-D natural quadric objectsAn optimal sensing strategy for an optical proximity sensor system engaged in the recognition and localization of 3-D natural quadric objects is presented. The optimal sensing strategy consists of the selection of an optimal beam orientation and the determination of an optimal probing plane that compose an optimal data collection operation known as an optimal probing. The decision of an optimal probing is based on the measure of discrimination power of a cluster of surfaces on a multiple interpretation image (MII), where the measure of discrimination power is defined in terms of a utility function computing the expected number of interpretations that can be pruned out by a probing. An object representation suitable for active sensing based on a surface description vector (SDV) distribution graph and hierarchical tables is presented. Experimental results are shown.
Document ID
19920035848
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Lee, Sukhan
(JPL, Pasadena; Southern California, University Los Angeles, CA, United States)
Hahn, Hernsoo
(Southern California, University Los Angeles, CA, United States)
Date Acquired
August 15, 2013
Publication Date
October 1, 1991
Publication Information
Publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume: 13
ISSN: 0162-8828
Subject Category
Cybernetics
Accession Number
92A18472
Distribution Limits
Public
Copyright
Other

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