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  • We introduce here an improved design of the Uniform Marker Fields and an algorithm for their fast and reliable detection. Our concept of the marker field is designed so that it can be detected and recognized for camera pose esti- mation: in various lighting conditions, under a severe per- spective, while heavily occluded, and under a strong motion blur. Our marker field detection harnesses the fact that the edges within the marker field meet at two vanishing points and that the projected planar grid of squares can be defined by a detectable mathematical formalism. The modules of the grid are greyscale and the locations within the marker field are defined by the edges between the modules. The assumption that the marker field is planar allows for a very cheap and reliable camera pose estimation in the captured scene. The detection rates and accuracy are slightly better compared to state-of-the-art marker-based solutions. At the same time, and more importantly, our de- tector of the mar
  • We introduce here an improved design of the Uniform Marker Fields and an algorithm for their fast and reliable detection. Our concept of the marker field is designed so that it can be detected and recognized for camera pose esti- mation: in various lighting conditions, under a severe per- spective, while heavily occluded, and under a strong motion blur. Our marker field detection harnesses the fact that the edges within the marker field meet at two vanishing points and that the projected planar grid of squares can be defined by a detectable mathematical formalism. The modules of the grid are greyscale and the locations within the marker field are defined by the edges between the modules. The assumption that the marker field is planar allows for a very cheap and reliable camera pose estimation in the captured scene. The detection rates and accuracy are slightly better compared to state-of-the-art marker-based solutions. At the same time, and more importantly, our de- tector of the mar (en)
Title
  • Five Shades of Grey for Fast and Reliable Camera Pose Estimation
  • Five Shades of Grey for Fast and Reliable Camera Pose Estimation (en)
skos:prefLabel
  • Five Shades of Grey for Fast and Reliable Camera Pose Estimation
  • Five Shades of Grey for Fast and Reliable Camera Pose Estimation (en)
skos:notation
  • RIV/00216305:26230/13:PU106337!RIV14-TA0-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(TE01020415)
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
  • 75252
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/13:PU106337
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Fiduciary Markers, Uniform Marker Field, Checkerboard Detection, Seamless Marker, Overlapping Markers, Camera Localization, Augmented Reality, De-Bruijn Tori, Perfect Maps, Real-Time AR Localization, Visually Appealing Markers, Tolerance to Global/Loc (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E40CD0D164C9]
http://linked.open...v/mistoKonaniAkce
  • Portland, Oregon
http://linked.open...i/riv/mistoVydani
  • Portland, OR
http://linked.open...i/riv/nazevZdroje
  • Proceedings of CVPR
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Herout, Adam
  • Szentandrási, István
  • Dubská, Markéta
  • Zachariáš, Michal
  • Kajan, Rudolf
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-0-7695-4989-7
http://localhost/t...ganizacniJednotka
  • 26230
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