Blur Invariant Template Matching Using Projection onto Convex Sets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00508018" target="_blank" >RIV/67985556:_____/19:00508018 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-29888-3_28" target="_blank" >http://dx.doi.org/10.1007/978-3-030-29888-3_28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-29888-3_28" target="_blank" >10.1007/978-3-030-29888-3_28</a>
Alternative languages
Result language
angličtina
Original language name
Blur Invariant Template Matching Using Projection onto Convex Sets
Original language description
Blur is a common phenomenon in image acquisition that negatively influences recognition rate if blurred images are used as a query in template matching. Various blur-invariant features and measures were proposed in the literature, yet they are often derived under conditions that are difficult to satisfy in practise, for example, images with zero background or periodically repeating images and classes of blur that are closed under convolution.We propose a novel blur-invariant distance that puts no limitation on images and is invariant to any kind of blur as long as the blur has limited support, non-zero values and sums up to one. A template matching algorithm is then derived based on the blur-invariant distance, which projects query images on convex sets constructed around template images. The proposed method is easy to implement, it is robust to noise and blur size, and outperforms other competitors in this area.
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings
ISBN
978-3-030-29929-3
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
351-362
Publisher name
Springer
Place of publication
Cham
Event location
Salerno
Event date
Sep 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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