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Cited by 1,432

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Local grayvalue invariants for image retrieval

Open access
Schmid, C., Mohr, R.·1997·IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI 10.1109/34.589215
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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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Metadata

Authors
Schmid, C., & Mohr, R.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1997-05
Volume
19
Issue
5
Pages
530-535
ISSN
0162-8828 (ISSN-L)
DOI
10.1109/34.589215
OpenAlex
W2124087378
Cited by
1,432
References
2
FWCI
25.24
Type
journal article
Language
en
Open access
green
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)

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CoChat. (2026). Citation check: Local grayvalue invariants for image retrieval. https://app.cochat.ai/papers/10.1109/34.589215
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Schmid, C., & Mohr, R. (1997). Local grayvalue invariants for image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.589215

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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