0543871 20240103230014.320210719235959.9 000670578800028 85096843357 10.1109/TPAMI.2020.3036630 3 s. P cav_un_epca*02567250162-8828438 (2021)2882-2884IEEE Computer Society Blurred image classification invariant distance subspace projections constrained minimization cav_un_auth*0377447 Lébl Matěj UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101209 Šroubek Filip UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101087 Flusser Jan UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing K Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2021/ZOI/sroubek-0543871.pdf https://www.computer.org/csdl/journal/tp/2021/08/09250602/1oxk0p0WumA GA18-07247S GA ČR cav_un_auth*0360229 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. WOS JD 20000 20200 20206 2022 3 RVO:67985556 http://hdl.handle.net/11104/0320990 S 3+4 Article Computer Science Artificial Intelligence|Engineering Electrical Electronic C ENGINEERING.ELECTRICAL&ELECTRONIC|COMPUTERSCIENCE.ARTIFICIALINTELLIGENCE 25.651 11.881 8.2 0.06631 6.752 73149 435 8.269 60.86 19.48 15519 Q1 24.000 312 Q1 99.2 Q1* Q1* 4.71 Q1 99.457 2021 85096843357 SCOPUS PUBMED 000670578800028 WOS cav_un_epca*0256725 IEEE Transactions on Pattern Analysis and Machine Intelligence 0162-8828 1939-3539 Roč. 43 č. 8 2021 2882 2884 IEEE Computer Society