Automatic Test of Visual Feature Detectors and Descriptors for Visual Odometry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332642" target="_blank" >RIV/68407700:21230/19:00332642 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/19:00332642
Result on the web
<a href="http://poseidon2.feld.cvut.cz/conf/poster/proceedings/POSTER_2019.pdf" target="_blank" >http://poseidon2.feld.cvut.cz/conf/poster/proceedings/POSTER_2019.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automatic Test of Visual Feature Detectors and Descriptors for Visual Odometry
Original language description
Performance of feature-based visual odometry highly depends on a used method for feature detection and description. It is not influenced only by a type of a method but also by its inner parameters’ setting. Therefore the automatic test of feature detectors and descriptors is presented in this paper. It allows comparing various methods with different inner parameters. The test evaluates features’ properties on a small dataset of images. It was used for finding the most suitable method for visual odometry in the camerabased scanner of car undercarriages.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VI20172020080" target="_blank" >VI20172020080: Kassandra - multi-camera vehicles´ undercarriage security scanner</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
Proceedings of the International Student Scientific Conference Poster – 23/2019
ISBN
978-80-01-06581-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
ČVUT FEL, Středisko vědecko-technických informací
Place of publication
Praha
Event location
ČVUT FEL, Technická 2, Praha 6
Event date
May 23, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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