0429813 20240103204425.220140722235959.9 10.15579/gcsr.vol1.ch7 31 s. P 288 cav_un_epca*0429811978-618-81418-1-0143-173XanthiScience Gate Publishing2014PapakostasG. A. Hermite polynomials Digital image Moments cav_un_auth*0292817 Yang Bo Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101203 Suk Tomáš Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0304782 Dai M. FR cav_un_auth*0101087 Flusser Jan Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2014/ZOI/flusser-0429813.pdf GAP103/11/1552 GA ČR cav_un_auth*0273618 This chapter introduces 2D and 3D Gaussian-Hermite moments and rotation invariants constructed from them. Thanks to their numerical stability, Gaussian-Hermite moments provide better reconstruction and recognition power than the geometric and most of other orthogonal moments while keeping the simplicity of design of the invariants. This is illustrated by experiments on real 2D and 3D data. 2015 JD 4 http://hdl.handle.net/11104/0234853 S 2014 cav_un_epca*0429811 Moments and Moment Invariants: Theory and Applications 978-618-81418-1-0 143 173 Xanthi Science Gate Publishing 2014 Gate to Computer Science and Research Volume 1 Papakostas G. A. 340