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
fDate :
5/1/1997 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
