0541853 20240103225721.720210420235959.9 6 s. E cav_un_epca*0541901978-1-7281-8808-9459-464PiscatawayIEEE2021 combined moment invariants Gaussian blur Substitution Theorem cav_un_auth*0336802 Kostková Jitka 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 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0389933 Pedone M. FI http://library.utia.cas.cz/separaty/2021/ZOI/kostkova-0541853.pdf GA18-07247S GA ČR cav_un_auth*0360229 AP1701 AV ČR CZ cav_un_auth*0349658 The paper presents a new theory of combined moment invariants to Gaussian blur and spatial affine transformation. The blur kernel may be arbitrary oriented, scaled and elongated. No prior information about the kernel parameters and about the underlaying affine transform is required. The main idea, expressed by the Substitution Theorem, is to substitute pure blur invariants into traditional affine moment invariants. Potential applications of the new descriptors are in blur-invariant image recognition and in robust template matching. cav_un_auth*0408434 25th International Conference on Pattern Recognition (ICPR) 20210110 20210115 Milan, Italy IT JD 10000 10200 10201 2022 3 PR RVO:67985556 http://hdl.handle.net/11104/0319399 S 2021 SCOPUS PUBMED WOS cav_un_epca*0541901 Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020) 978-1-7281-8808-9 459 464 Piscataway IEEE 2021