Representative Keypoints of Images: A New Selection Criterion

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F20%3AA2102686" target="_blank" >RIV/61988987:17610/20:A2102686 - isvavai.cz</a>
Result on the web
<a href="https://www.worldscientific.com/doi/abs/10.1142/9789811223334_0113" target="_blank" >https://www.worldscientific.com/doi/abs/10.1142/9789811223334_0113</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/9789811223334_0113" target="_blank" >10.1142/9789811223334_0113</a>

Result language
angličtina
Original language name
Representative Keypoints of Images: A New Selection Criterion
Original language description
We propose a sound theoretical justification for the widely accepted heuristic of choosing keypoints. We show that if the keypoints are selected as points where a non-local Laplacian reaches its extreme values, then there exists an inverse F-transform operator that computes an approximation of an original image with a suitable (high) quality. Theoretical results are supported by numerical tests and illustrations.
Czech name
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Czech description
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Project
<a href="/en/project/EF17_049%2F0008414" target="_blank" >EF17_049/0008414: Centre for the development of Artificial Intelligence Methods for the Automotive Industry of the region</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Developments of Artificial Intelligence Technologies in Computation and Robotics
ISBN
978-981-122-332-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
939-946
Publisher name
World Scientific
Place of publication
Singapore
Event location
Cologne Germany
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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