C. Schmid et R. Mohr, LOCAL GRAYVALUE INVARIANTS FOR IMAGE RETRIEVAL, IEEE transactions on pattern analysis and machine intelligence, 19(5), 1997, pp. 530-535
This paper addresses the problem of retrieving images from large image
databases. The method is based on local grayvalue invariants which ar
e computed at automatically detected interest points. A voting algorit
hm and semilocal constraints make retrieval possible. Indexing allows
for efficient retrieval from a database of more than 1,000 images. Exp
erimental results show correct retrieval in the case of partial visibi
lity, similarity transformations, extraneous features, and small persp
ective deformations.