In the Saddle: Chasing fast and repeatable features
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00308702" target="_blank" >RIV/68407700:21230/17:00308702 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7899712/" target="_blank" >http://ieeexplore.ieee.org/document/7899712/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICPR.2016.7899712" target="_blank" >10.1109/ICPR.2016.7899712</a>
Alternative languages
Result language
angličtina
Original language name
In the Saddle: Chasing fast and repeatable features
Original language description
A novel similarity-covariant feature detector that extracts points whose neighborhoods, when treated as a 3D intensity surface, have a saddle-like intensity profile. The saddle condition is verified efficiently by intensity comparisons on two concentric rings that must have exactly two dark-to-bright and two bright-to-dark transitions satisfying certain geometric constraints. Experiments show that the Saddle features are general, evenly spread and appearing in high density in a range of images. The Saddle detector is among the fastest proposed. In comparison with detector with similar speed, the Saddle features show superior matching performance on number of challenging datasets.
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
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)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 23rd International Conference on Pattern Recognition (ICPR)
ISBN
978-1-5090-4847-2
ISSN
1051-4651
e-ISSN
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Number of pages
6
Pages from-to
675-680
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
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Event location
Cancun
Event date
Dec 4, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000406771300115