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Local grayvalue invariants for image retrieval

by: C. Schmid, R. Mohr
Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 19, No. 5. (May 1997), pp. 530-535, doi:10.1109/34.589215  Key: citeulike:3176601

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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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