Local grayvalue invariants for image retrieval (1997)
| Venue: | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Citations: | 367 - 21 self |
BibTeX
@ARTICLE{Schmid97localgrayvalue,
author = {Cordelia Schmid and Roger Mohr},
title = {Local grayvalue invariants for image retrieval},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {1997},
volume = {19},
pages = {530--535}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
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. Index Terms—Image retrieval, image indexing, graylevel invariants, matching, interest points. 1
