0479476 20240103214702.920171012235959.9 85045313410 000428410702097 10.1109/ICIP.2017.8296704 5 s. C cav_un_epca*0479513978-1-5090-2175-82359-2363PiscatawayIEEE2017 vector field total rotation Gaussian-Hermite moments template matching cav_un_auth*0236665 Yang B. CN 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*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*0349350 Bujack R. US http://library.utia.cas.cz/separaty/2017/ZOI/flusser-0479476.pdf cav_un_auth*0314467 GA15-16928S GA ČR We propose a method for the recognition of vector field patterns under an unknown rotation. The rotation is modeled as a total transformation, which is applied on both spatial coordinates and field values. The invariants are constructed from orthogonal Gaussian-Hermite moments. Their numerical stability and recognition power are shown to be better than those of the invariants published so far. cav_un_auth*0351399 IEEE International Conference on Image Processing 2017 (ICIP 2017) 20170917 20170920 Beijing CN JD 20000 20200 20205 2018 5 PR RVO:67985556 http://hdl.handle.net/11104/0275498 S RIV/67985556:_____/17:00479476!RIV18-AV0-67985556 191975709 Doplnění UT WOS, Scopus a DOI RIV/67985556:_____/17:00479476!RIV18-GA0-67985556 191965041 Doplnění UT WOS, Scopus a DOI n.a. Proceedings Paper Imaging Science Photographic Technology 2017 85045313410 SCOPUS PUBMED 000428410702097 WOS cav_un_epca*0479513 Proceedings of the 2017 IEEE International Conference on Image Processing (ICIP 2017) 978-1-5090-2175-8 2359 2363 Piscataway IEEE 2017