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Description
  • This paper deals with a scene pre-processing task - depth image segmentation. Efficiency and accuracy of several methods for depth map segmentation are explored. To meet real-time capable constraints, state-of-the-art techniques needed to be modified. Along with these modifications, new segmentation approaches are presented which aim at optimizing performance characteristics. They benefit from an assumption of human-made indoor environments by focusing on detection of planar regions. All methods were evaluated on datasets with manually annotated real environments. A comparison with alternative solutions is also presented.
  • This paper deals with a scene pre-processing task - depth image segmentation. Efficiency and accuracy of several methods for depth map segmentation are explored. To meet real-time capable constraints, state-of-the-art techniques needed to be modified. Along with these modifications, new segmentation approaches are presented which aim at optimizing performance characteristics. They benefit from an assumption of human-made indoor environments by focusing on detection of planar regions. All methods were evaluated on datasets with manually annotated real environments. A comparison with alternative solutions is also presented. (en)
Title
  • Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes
  • Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes (en)
skos:prefLabel
  • Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes
  • Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes (en)
skos:notation
  • RIV/00216305:26230/12:PU98196!RIV14-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E12056), P(7H10011), P(ED1.1.00/02.0070), 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
  • 136196
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/12:PU98196
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Kinect, Depth Map Segmentation, Plane detection, Computer Vision, Range Sensing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D6F83F0D32D7]
http://linked.open...v/mistoKonaniAkce
  • Vilamoura, Algarve
http://linked.open...i/riv/mistoVydani
  • Vilamoura, Algarve
http://linked.open...i/riv/nazevZdroje
  • IEEE/RSJ International Conference on Intelligent Robots and Systems
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
  • Beran, Vítězslav
  • Smrž, Pavel
  • Španěl, Michal
  • Kršek, Přemysl
  • Hulík, Rostislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Department of Computer Graphics and Multimedia FIT BUT
https://schema.org/isbn
  • 978-1-4673-1737-5
http://localhost/t...ganizacniJednotka
  • 26230
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