0541853 - ÚTIA 2022 RIV US eng C - Conference Paper (international conference)
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]
R&D Projects: GA ČR GA18-07247S
Grant - others:AV ČR(CZ) AP1701
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985556
Keywords : combined moment invariants * Gaussian blur * Substitution Theorem
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result website:
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.
Permanent Link: http://hdl.handle.net/11104/0319399