Affine Moment Invariants of Vector Fields
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00495873" target="_blank" >RIV/67985556:_____/18:00495873 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICIP.2018.8451371" target="_blank" >http://dx.doi.org/10.1109/ICIP.2018.8451371</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICIP.2018.8451371" target="_blank" >10.1109/ICIP.2018.8451371</a>
Alternative languages
Result language
angličtina
Original language name
Affine Moment Invariants of Vector Fields
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20206 - Computer hardware and architecture
Result continuities
Project
<a href="/en/project/GA18-07247S" target="_blank" >GA18-07247S: Methods and Algorithms for Vector and Tensor Field Image Analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 25th IEEE International Conference on Image Processing 2018
ISBN
978-1-4799-7062-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1338-1342
Publisher name
IEEE
Place of publication
Piscataway
Event location
Atény
Event date
Oct 7, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000455181501093