0495873 20240103220824.820181105235959.9 85062898131 000455181501093 10.1109/ICIP.2018.8451371 5 s. P cav_un_epca*0496137978-1-4799-7062-91338-1342PiscatawayIEEE2018 Vector field total transformation affine invariants template matching vector field moments cav_un_auth*0336802 Department of Image Processing Kostková Jitka UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101203 Department of Image Processing Suk Tomáš UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI 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. http://library.utia.cas.cz/separaty/2018/ZOI/kostkova-0495873.pdf cav_un_auth*0360229 GA18-07247S GA ČR Vector field (VF) is a special kind of multidimensional data. In each pixel, VF contains information about the direction and themagnitude of themeasured quantity. To detect the patterns of interest in the field, special matching methods must be developed. We propose a method for the description and matching of VF patterns under an unknown affine transformation of the field. Unlike digital images, transformations of VFs act not only on the spatial coordinates but also on the field values, which makes the detection different. To measure the similarity between the template and the field patch, we propose original invariants with respect to affine transformation designed from moments. Their performance is demonstrated by experiments on real data from fluid mechanics. cav_un_auth*0366810 IEEE International Conference on Image Processing 2018 (ICIP 2018) /25./ 20181007 20181010 Atény GR JD 20000 20200 20206 2019 3 PR RVO:67985556 http://hdl.handle.net/11104/0288948 S 3+4 Proceedings Paper Computer Science Software Engineering|Imaging Science Photographic Technology 2018 85062898131 SCOPUS PUBMED 000455181501093 WOS cav_un_epca*0496137 Proceedings of the 25th IEEE International Conference on Image Processing 2018 978-1-4799-7062-9 1338 1342 Piscataway IEEE 2018