Local Grayvalue Invariants for Image Retrieval

Cordelia Schmid 1 Roger Mohr 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
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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IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 1997, 19 (5), pp.530--534. 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=589215〉. 〈10.1109/34.589215〉
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Cordelia Schmid, Roger Mohr. Local Grayvalue Invariants for Image Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 1997, 19 (5), pp.530--534. 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=589215〉. 〈10.1109/34.589215〉. 〈inria-00548358〉

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