Fast corner point detection through machine learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU97839" target="_blank" >RIV/00216305:26230/11:PU97839 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fast corner point detection through machine learning
Original language description
The subject of this paper is the procedure of corner point detection using Machine learning algorithms. The paper compares from many points of view the success of the classical corner point detector and the detector obtained by WaldBoost algorithm.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/7H10011" target="_blank" >7H10011: Robust & Safe Mobile Co-operative Autonomous Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
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 17th Conference STUDENT EEICT 2011
ISBN
978-80-214-4273-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
537-541
Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Apr 28, 2011
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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