0555291 20250310153156.120220311235959.9 85125526639 000784335600003 10.1016/j.patcog.2022.108607 12 s. P cav_un_epca*02573880031-3203127Elsevier Image recognition Rotation invariants Non-separable moments Appell polynomials Bi-orthogonality Recurrent relation cav_un_auth*0426512 Bedratyuk L. UA 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. cav_un_auth*0101203 Suk Tomáš 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*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*0355333 Kautský J. AU http://library.utia.cas.cz/separaty/2022/ZOI/flusser-0555291.pdf https://www.sciencedirect.com/science/article/pii/S0031320322000887?via%3Dihub GA21-03921S GA ČR cav_un_auth*0412209 In this paper, we introduce new rotation moment invariants, which are composed of non-separable Appell moments. We prove that Appell polynomials behave under rotation as monomials, which enables easy construction of the invariants. We show by extensive tests that non-separable moments may outperform the separable ones in terms of recognition power and robustness thanks to a better distribution of their zero curves over the image space. WOS JD 10000 10200 10201 2023 5 2 R hod 4 4rh 4 20250310152621.4 4 20250310153156.1 RVO:67985556 http://hdl.handle.net/11104/0330272 1 S 108607 3+4 Article Computer Science Artificial Intelligence|Engineering Electrical Electronic C ENGINEERING.ELECTRICAL&ELECTRONIC|COMPUTERSCIENCE.ARTIFICIALINTELLIGENCE 8.4 1.3 6 0.03605 1.765 40524 2.085 6.700 625 Q1 86.2 Q1 Q1 1.71 Q1 89.3 2022 Soubory v repozitáři: flusser-0555291.pdf 85125526639 SCOPUS PUBMED 000784335600003 WOS cav_un_epca*0257388 Pattern Recognition 0031-3203 1873-5142 Roč. 127 č. 1 2022 Elsevier