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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F12%3APU98185%21RIV13-MSM-26230___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
This paper evaluates the suitability of tone-mapped high dynamic range imagery for feature point detection under extreme lighting conditions. The conditions are extreme in respect to the dynamic range of the lighting within the test scenes used. This dynamic range cannot be captured using standard low dynamic range imagery techniques without loss of detail. Four widely used feature point detectors are used in the experiments: Harris corner detector, Shi-Tomasi, FAST and Fast Hessian. Their repeatability rate is studied under changes of camera viewpoint, camera distance and scene lighting with respect to the image formats used. The results of the experiments show which image formats perform best and what the most appropriate scenarios for their use are. Data used in the experiments is available. This paper evaluates the suitability of tone-mapped high dynamic range imagery for feature point detection under extreme lighting conditions. The conditions are extreme in respect to the dynamic range of the lighting within the test scenes used. This dynamic range cannot be captured using standard low dynamic range imagery techniques without loss of detail. Four widely used feature point detectors are used in the experiments: Harris corner detector, Shi-Tomasi, FAST and Fast Hessian. Their repeatability rate is studied under changes of camera viewpoint, camera distance and scene lighting with respect to the image formats used. The results of the experiments show which image formats perform best and what the most appropriate scenarios for their use are. Data used in the experiments is available.
dcterms:title
Feature Point Detection under Extreme Lighting Conditions Feature Point Detection under Extreme Lighting Conditions
skos:prefLabel
Feature Point Detection under Extreme Lighting Conditions Feature Point Detection under Extreme Lighting Conditions
skos:notation
RIV/00216305:26230/12:PU98185!RIV13-MSM-26230___
n15:predkladatel
n16:orjk%3A26230
n3:aktivita
n14:Z
n3:aktivity
Z(MSM0021630528)
n3:dodaniDat
n12:2013
n3:domaciTvurceVysledku
n10:8330867 n10:9340386
n3:druhVysledku
n22:D
n3:duvernostUdaju
n9:S
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
136299
n3:idVysledku
RIV/00216305:26230/12:PU98185
n3:jazykVysledku
n19:eng
n3:klicovaSlova
feature point detection, interest point detection, corner point detection, Harris corner detector, Shi-Tomasi, FAST, Fast Hessian, SURF, high dynamic range imagery, HDR, Wallis filter
n3:klicoveSlovo
n4:high%20dynamic%20range%20imagery n4:interest%20point%20detection n4:Fast%20Hessian n4:Wallis%20filter n4:SURF n4:HDR n4:FAST n4:Harris%20corner%20detector n4:corner%20point%20detection n4:feature%20point%20detection n4:Shi-Tomasi
n3:kontrolniKodProRIV
[1E42DA10C8E1]
n3:mistoKonaniAkce
Smolenice
n3:mistoVydani
Smolenice
n3:nazevZdroje
Spring Conference on Computer Graphics
n3:obor
n5:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n12:2012
n3:tvurceVysledku
Zemčík, Pavel Přibyl, Bronislav Chalmers, Alan
n3:typAkce
n18:EUR
n3:zahajeniAkce
2012-05-02+02:00
n3:zamer
n11:MSM0021630528
s:numberOfPages
8
n17:hasPublisher
Univerzita Komenského v Bratislave
n8:isbn
978-80-223-3211-8
n21:organizacniJednotka
26230