0541853 - ÚTIA 2022 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Kostková, Jitka - Flusser, Jan - Pedone, M.
Combined Invariants to Gaussian Blur and Affine Transformation.
Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020). Piscataway: IEEE, 2021, s. 459-464. ISBN 978-1-7281-8808-9.
[25th International Conference on Pattern Recognition (ICPR). Milan, Italy (IT), 10.01.2021-15.01.2021]
Grant CEP: GA ČR GA18-07247S
Grant ostatní: AV ČR(CZ) AP1701
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985556
Klíčová slova: combined moment invariants * Gaussian blur * Substitution Theorem
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Web výsledku:
http://library.utia.cas.cz/separaty/2021/ZOI/kostkova-0541853.pdf

The paper presents a new theory of combined moment invariants to Gaussian blur and spatial affine transformation. The blur kernel may be arbitrary oriented, scaled and elongated. No prior information about the kernel parameters and about the underlaying affine transform is required. The main idea, expressed by the Substitution Theorem, is to substitute pure blur invariants into traditional affine moment invariants. Potential applications of the new descriptors are in blur-invariant image recognition and in robust template matching.
Trvalý link: http://hdl.handle.net/11104/0319399