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Local grayvalue invariants for image retrieval

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2 Author(s)
Schmid, C. ; Inst. Nat. de Recherche en Inf. et Autom., Monbonnot-Saint-Martin, France ; Mohr, R.

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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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:19 ,  Issue: 5 )