Evaluation of Local Detectors and Descriptors for Fast Feature Matching

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200382" target="_blank" >RIV/68407700:21230/12:00200382 - 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
Evaluation of Local Detectors and Descriptors for Fast Feature Matching
Original language description
Local feature detectors and descriptors are widelyused in many computer vision applications and various methods have been proposed during the past decade. There have been a number of evaluations focused on various aspects of local features, matching accuracy in particular, however there has been no comparisons considering the accuracy and speed trade-offs of recent extractors such as BRIEF, BRISK, ORB, MRRID, MROGH and LIOP. This paper provides a performance evaluation of recent feature detectors and compares their matching precision and speed in randomized kdtrees setup as well as an evaluation of binary descriptors with efficient computation of Hamming distance.
Czech name
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Czech description
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Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ICPR 2012: Proceedings of 21st International Conference on Pattern Recognition
ISBN
978-4-9906441-0-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
2681-2684
Publisher name
IEEE
Place of publication
New York
Event location
Tsukuba
Event date
Nov 11, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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