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<p><b>Abstract</b>—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.</p>
Image retrieval, image indexing, graylevel invariants, matching, interest points.

R. Mohr and C. Schmid, "Local Grayvalue Invariants for Image Retrieval," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 19, no. , pp. 530-535, 1997.
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