|
Abstract : |
Abstract--- This paper addresses the problem of retrieving images from large image databases. The method is based on local greyvalue invariants which are computed at automatically detected interest points. A voting algorithm and semi-local constraints make retrieval possible. Indexing allows for efficient retrieval from a database of more than 1000 images. Experimental results show correct retrieval in the case of partial visibility, similarity transformations, extraneous features, and small perspective deformations. Keywords--- image retrieval, image indexing, greylevel invariants, matching I., |
