About: Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • This paper deals with the detection of orthogonal vanishing points. The aim is to efficiently cope with the clutter edges in real-life images and to determine the camera orientation in the Manhattan world reliably. We are using a modified scheme of the Cascaded Hough Transform where only one Hough space is accumulated - the space of the vanishing points. The parameterization of the vanishing points - the %22diamond space%22 - is based on the PClines line parameterization and it is defined as a mapping of the whole real projective plane to a finite space. Our parameterization of vanishing points is in all aspects linear; it involves no goniometric or other non-linear operations and thus it is suitable for implementation in embedded chips and circuitry.
  • This paper deals with the detection of orthogonal vanishing points. The aim is to efficiently cope with the clutter edges in real-life images and to determine the camera orientation in the Manhattan world reliably. We are using a modified scheme of the Cascaded Hough Transform where only one Hough space is accumulated - the space of the vanishing points. The parameterization of the vanishing points - the %22diamond space%22 - is based on the PClines line parameterization and it is defined as a mapping of the whole real projective plane to a finite space. Our parameterization of vanishing points is in all aspects linear; it involves no goniometric or other non-linear operations and thus it is suitable for implementation in embedded chips and circuitry. (en)
Title
  • Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points
  • Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points (en)
skos:prefLabel
  • Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points
  • Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points (en)
skos:notation
  • RIV/00216305:26230/13:PU106396!RIV15-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(TA01010931), 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
  • 101596
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/13:PU106396
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • parallel coordinates, vanishing points, manhattan world, cascaded hough transform (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0D2704B7E4F1]
http://linked.open...v/mistoKonaniAkce
  • Bristol
http://linked.open...i/riv/mistoVydani
  • Bristol
http://linked.open...i/riv/nazevZdroje
  • Proceedings of BMVC 2013
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
  • Dubská, Markéta
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.5244/C.27.90
http://purl.org/ne...btex#hasPublisher
  • The British Machine Vision Association and Society for Pattern Recognition
https://schema.org/isbn
  • 1-901725-49-9
http://localhost/t...ganizacniJednotka
  • 26230
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software