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Local Grayvalue Invariants for Image Retrieval
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.
Cited literature [35 references]
https://hal.inria.fr/inria-00548358
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Submitted on : Monday, December 20, 2010 - 8:43:46 AM
Last modification on : Monday, December 28, 2020 - 3:44:02 PM
Long-term archiving on: : Monday, March 21, 2011 - 2:56:58 AM
Contributor : Thoth Team Connect in order to contact the contributor
Submitted on : Monday, December 20, 2010 - 8:43:46 AM
Last modification on : Monday, December 28, 2020 - 3:44:02 PM
Long-term archiving on: : Monday, March 21, 2011 - 2:56:58 AM
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