Local grayvalue invariants for image retrieval
Schmid, C.
Mohr, R.
Inst. Nat. de Recherche en Inf. et Autom., Monbonnot-Saint-Martin;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: May 1997
Volume: 19,
Issue: 5
On page(s): 530-535
ISSN: 0162-8828
References Cited: 36
CODEN: ITPIDJ
INSPEC Accession Number: 5606040
Digital Object Identifier: 10.1109/34.589215
Current Version Published: 2002-08-06
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
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