Blur-Invariant Similarity Measurement of Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F21%3A00543871" target="_blank" >RIV/67985556:_____/21:00543871 - isvavai.cz</a>
Result on the web
<a href="https://www.computer.org/csdl/journal/tp/2021/08/09250602/1oxk0p0WumA" target="_blank" >https://www.computer.org/csdl/journal/tp/2021/08/09250602/1oxk0p0WumA</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TPAMI.2020.3036630" target="_blank" >10.1109/TPAMI.2020.3036630</a>

Result language
angličtina
Original language name
Blur-Invariant Similarity Measurement of Images
Original language description
This article is a comment on the recent TPAMI paper (Gopalan et al., 2012) that introduced a blur-invariant distance measure between two images. We point out two mistakes of the theory presented in (Gopalan et al., 2012) and propose a correction. We also compare the original and corrected methods experimentally.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20206 - Computer hardware and architecture

Project
<a href="/en/project/GA18-07247S" target="_blank" >GA18-07247S: Methods and Algorithms for Vector and Tensor Field Image Analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
IEEE Transactions on Pattern Analysis and Machine Intelligence
ISSN
0162-8828
e-ISSN
1939-3539
Volume of the periodical
43
Issue of the periodical within the volume
8
Country of publishing house
US - UNITED STATES
Number of pages
3
Pages from-to
2882-2884
UT code for WoS article
000670578800028
EID of the result in the Scopus database
2-s2.0-85096843357

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