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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. (en)
Title
  • Feature Point Detection under Extreme Lighting Conditions
  • Feature Point Detection under Extreme Lighting Conditions (en)
skos:prefLabel
  • Feature Point Detection under Extreme Lighting Conditions
  • Feature Point Detection under Extreme Lighting Conditions (en)
skos:notation
  • RIV/00216305:26230/12:PU98185!RIV13-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 136299
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/12:PU98185
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/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 (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1E42DA10C8E1]
http://linked.open...v/mistoKonaniAkce
  • Smolenice
http://linked.open...i/riv/mistoVydani
  • Smolenice
http://linked.open...i/riv/nazevZdroje
  • Spring Conference on Computer Graphics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Přibyl, Bronislav
  • Zemčík, Pavel
  • Chalmers, Alan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Univerzita Komenského v Bratislave
https://schema.org/isbn
  • 978-80-223-3211-8
http://localhost/t...ganizacniJednotka
  • 26230
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