Local grayvalue invariants for image retrieval
Schmid, C.; Mohr, R.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Volume 19, Issue 5, May 1997 Page(s):530 - 535
Digital Object Identifier   10.1109/34.589215
Summary: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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