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Recognition of Patterns in Vector Fields by Gaussian-Hermite Invariants
- 1.0479476 - ÚTIA 2018 RIV US eng C - Conference Paper (international conference)
Yang, B. - Kostková, Jitka - Flusser, Jan - Suk, Tomáš - Bujack, R.
Recognition of Patterns in Vector Fields by Gaussian-Hermite Invariants.
Proceedings of the 2017 IEEE International Conference on Image Processing (ICIP 2017). Piscataway: IEEE, 2017, s. 2359-2363. ISBN 978-1-5090-2175-8.
[IEEE International Conference on Image Processing 2017 (ICIP 2017). Beijing (CN), 17.09.2017-20.09.2017]
R&D Projects: GA ČR GA15-16928S
Institutional support: RVO:67985556
Keywords : vector field * total rotation * Gaussian-Hermite moments * template matching
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2017/ZOI/flusser-0479476.pdf
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.
Permanent Link: http://hdl.handle.net/11104/0275498
Number of the records: 1