DocumentCode
1368581
Title
Rate-distortion theory applied to automatic object recognition
Author
Shusterman, Eli ; Miller, Michael I. ; Rimoldi, Bixio
Author_Institution
Orckit Commun. Ltd., Tel-Aviv, Israel
Volume
46
Issue
5
fYear
2000
fDate
8/1/2000 12:00:00 AM
Firstpage
1921
Lastpage
1927
Abstract
We consider the problem of recognizing CAD models at arbitrary orientations observed via the projective transformation on an imaging sensor with noise. Bounds on codebook size are established through the rate-distortion curve for a distortion measure derived from the Hilbert-Schmidt norm for elements of the orthogonal group
Keywords
CAD; computational complexity; group theory; image representation; noise; object recognition; rate distortion theory; video coding; CAD models recognition; Hilbert-Schmidt distortion measure; Hilbert-Schmidt norm; arbitrary orientations; automatic object recognition; automatic target recognition; codebook size bounds; distortion measure; error metrics; imaging sensor; noise; orthogonal group elements; projective transformation; rate-distortion curve; rate-distortion theory; representation complexity; video projection sensor; Design automation; Distortion measurement; Image recognition; Image sensors; Object recognition; Rate-distortion; Shape; Size measurement; Target recognition; Tiles;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.857801
Filename
857801
Link To Document