0508018 - ÚTIA 2020 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Lébl, Matěj - Šroubek, Filip - Kautský, J. - Flusser, JanBlur Invariant Template Matching Using Projection onto Convex Sets.
Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings. Cham: Springer, 2019 - (Vento, M.; Percannella, G.; Colantonio, S.; Giorgi, D.; Matuszewski, B.; Kerdegari, H.; Razaak, M.), s. 351-362. Communications in Computer and Information Science, 1089. ISBN 978-3-030-29929-3.
[International Conference on Computer Analysis of Images and Patterns, CAIP 2019 /18./. Salerno (IT), 02.09.2019-06.09.2019]
Grant CEP: GA ČR GA18-07247S
Institucionální podpora: RVO:67985556
Klíčová slova: Blur-invariant distance * Projection operator * Object recognition * Blurred image
Obor OECD: Computer hardware and architecture
http://library.utia.cas.cz/separaty/2019/ZOI/flusser-0508018.pdf
Trvalý link: http://hdl.handle.net/11104/0299778