DocumentCode
1557332
Title
Local grayvalue invariants for image retrieval
Author
Schmid, Cordelia ; Mohr, Roger
Author_Institution
Inst. Nat. de Recherche en Inf. et Autom., Monbonnot-Saint-Martin, France
Volume
19
Issue
5
fYear
1997
fDate
5/1/1997 12:00:00 AM
Firstpage
530
Lastpage
535
Abstract
This paper addresses the problem of retrieving images from large image databases. The method is based on local grayvalue invariants which are computed at automatically detected interest points. A voting algorithm and semilocal constraints make retrieval possible. Indexing allows for efficient retrieval from a database of more than 1,000 images. Experimental results show correct retrieval in the case of partial visibility, similarity transformations, extraneous features, and small perspective deformations
Keywords
image matching; indexing; information retrieval; visual databases; extraneous features; image retrieval; large image databases; local grayvalue invariants; partial visibility; semilocal constraints; similarity transformations; small perspective deformations; voting algorithm; Autocorrelation; Convolution; Image retrieval; Laplace equations; Layout; Robustness; Smoothing methods; Tensile stress;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.589215
Filename
589215
Link To Document