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Description
  • This paper presents a method for feature-based 3D object recognition in cluttered scenes. It deals with the problem of non-uniform sampling density which is inherent in typical range sensing methods. We suggest a method operating on polygonal meshes which overcomes the problem by exploiting surface area in both establishing local frames and creating feature descriptors. The method is able to recognize even highly occluded objects and outperforms state of the art in terms of recognition rate on a standard publicly available dataset.
  • This paper presents a method for feature-based 3D object recognition in cluttered scenes. It deals with the problem of non-uniform sampling density which is inherent in typical range sensing methods. We suggest a method operating on polygonal meshes which overcomes the problem by exploiting surface area in both establishing local frames and creating feature descriptors. The method is able to recognize even highly occluded objects and outperforms state of the art in terms of recognition rate on a standard publicly available dataset. (en)
Title
  • Area-weighted Surface Normals for 3D Object Recognition
  • Area-weighted Surface Normals for 3D Object Recognition (en)
skos:prefLabel
  • Area-weighted Surface Normals for 3D Object Recognition
  • Area-weighted Surface Normals for 3D Object Recognition (en)
skos:notation
  • RIV/68407700:21230/12:00200499!RIV13-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E10044), P(GAP103/10/1585), S
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
  • 123635
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00200499
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • 3D object recognition; local invariant features (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0EF6013962E9]
http://linked.open...v/mistoKonaniAkce
  • Tsukuba
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • ICPR 2012: Proceedings of 21st International Conference on Pattern Recognition
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
  • Petříček, Tomáš
  • Svoboda, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-4-9906441-0-9
http://localhost/t...ganizacniJednotka
  • 21230
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