About: Efficient solutions to the absolute pose of cameras with unknown focal length and radial distortion by decomposition to planar and non-planar cases     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
  • In this paper we present new efficient solutions to the absolute pose problems for cameras with unknown focal length and unknown focal length and radial distortion from four 2D-to-3D point correspondences. We propose to solve these problems separately for non-planar and for planar scenes. By decomposing the problems into these two situations we obtain simpler and more efficient solvers than the previously known general solvers. We demonstrate in synthetic and real experiments significant speedup of our solvers. Especially our new solvers for absolute pose problem for camera with unknown focal length and radial distortion are about 40 x (non-planar) and 160 x (planar) faster than the general solver. Moreover, we show that our specific solvers can be joined into new general solvers, based on performing either planar or non-planar solver according to the scene structure or performing both solvers simultaneously and selecting the better result. Such joined solvers give comparable or even better results than the existing general solvers for planar as well as non-planar scenes.
  • In this paper we present new efficient solutions to the absolute pose problems for cameras with unknown focal length and unknown focal length and radial distortion from four 2D-to-3D point correspondences. We propose to solve these problems separately for non-planar and for planar scenes. By decomposing the problems into these two situations we obtain simpler and more efficient solvers than the previously known general solvers. We demonstrate in synthetic and real experiments significant speedup of our solvers. Especially our new solvers for absolute pose problem for camera with unknown focal length and radial distortion are about 40 x (non-planar) and 160 x (planar) faster than the general solver. Moreover, we show that our specific solvers can be joined into new general solvers, based on performing either planar or non-planar solver according to the scene structure or performing both solvers simultaneously and selecting the better result. Such joined solvers give comparable or even better results than the existing general solvers for planar as well as non-planar scenes. (en)
Title
  • Efficient solutions to the absolute pose of cameras with unknown focal length and radial distortion by decomposition to planar and non-planar cases
  • Efficient solutions to the absolute pose of cameras with unknown focal length and radial distortion by decomposition to planar and non-planar cases (en)
skos:prefLabel
  • Efficient solutions to the absolute pose of cameras with unknown focal length and radial distortion by decomposition to planar and non-planar cases
  • Efficient solutions to the absolute pose of cameras with unknown focal length and radial distortion by decomposition to planar and non-planar cases (en)
skos:notation
  • RIV/68407700:21230/12:00196132!RIV13-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • May
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
  • 133574
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00196132
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • minimal solvers; absolute pose; focal length; radial distortion (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • JP - Japonsko
http://linked.open...ontrolniKodProRIV
  • [C4C1F5CF8142]
http://linked.open...i/riv/nazevZdroje
  • IPSJ Transactions on Computer Vision and Applications (CVA)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 4
http://linked.open...iv/tvurceVysledku
  • Kúkelová, Zuzana
  • Pajdla, Tomáš
  • Bujnak, M.
issn
  • 1882-6695
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
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, 26 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software