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Local Grayvalue Invariants for Image Retrieval
May 1997 (vol. 19 no. 5)
pp. 530-535

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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Index Terms:
Image retrieval, image indexing, graylevel invariants, matching, interest points.
Citation:
Cordelia Schmid, Roger Mohr, "Local Grayvalue Invariants for Image Retrieval," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 5, pp. 530-535, May 1997, doi:10.1109/34.589215
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