A Few Things One Should Know About Feature Extraction, Description and Matching

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00217905" target="_blank" >RIV/68407700:21230/14:00217905 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
A Few Things One Should Know About Feature Extraction, Description and Matching
Original language description
We explore the computational bottlenecks of the affine feature extraction process and sho w how this process can be speeded up by 2-3 times with no or very modest loss of performance. With o ur improvements the speed of the Hessian-Affine and MSER detector is comparable with similarity-inva riant SURF and DoG-SIFT detectors. The improvements presented include a faster anisotropic patch ext raction algorithm which does not depend on the feature scale, a speed up of a feature dominant orien tation estimation and SIFT descriptor computation using a look-up table. In the second part of the paper we explore performance of the recently proposed first geometrically inconsistent nearest neighbour criterion and domination orientation generation process.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
CVWW2014: Proceedings of the 19th Computer Vision Winter Workshop
ISBN
978-80-260-5641-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
67-74
Publisher name
Czech Society for Cybernetics and Informatics
Place of publication
Praha
Event location
Krtiny
Event date
Feb 3, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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