DocumentCode
1453021
Title
2-D invariant object recognition using distributed associative memory
Author
Wechsler, Harry ; Zimmerman, George Lee
Author_Institution
Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA
Volume
10
Issue
6
fYear
1988
fDate
11/1/1988 12:00:00 AM
Firstpage
811
Lastpage
821
Abstract
Complex-log conformal mapping is combined with a distributed associative memory to create a system that recognizes objects regardless of changes in rotation or scale. Information recalled from the memorized database is used to classify an object, reconstruct the memorized version of the object, and estimate the magnitude of changes in scale or rotation. The system response is resistant to moderate amounts of noise and occlusion. Several experiments using real gray-scale images are presented to show the feasibility of the approach
Keywords
computerised pattern recognition; content-addressable storage; 2-D invariant object recognition; complex log conformal mapping; computerized pattern recognition; database; distributed associative memory; gray-scale images; system response; Associative memory; Computer vision; Conformal mapping; Image databases; Image recognition; Image representation; Machine vision; Marine vehicles; Object recognition; Remote sensing;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.9104
Filename
9104
Link To Document