About: Simple Single View Scene Calibration     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
rdfs:seeAlso
Description
  • This paper addresses automatic calibration of images, where the main goal is to extract information about objects and relations in the scene based on the information contained in the image itself. The purpose of such calibration is to enable e.g. determination of object coordinates, measurements of distances or areas between objects in the image, etc. The idea of the presented work is to detect objects in the image whose size is known, e.g. traffic signs in the presented case and exploit their relative sizes and positions in the image to perform the calibration under some assumptions about possible spatial distribution of the objects, e.g. their positioning on a plane in the presented case. The paper describes related work and the method itself, shows and discusses the results and proposes possible extensions.
  • This paper addresses automatic calibration of images, where the main goal is to extract information about objects and relations in the scene based on the information contained in the image itself. The purpose of such calibration is to enable e.g. determination of object coordinates, measurements of distances or areas between objects in the image, etc. The idea of the presented work is to detect objects in the image whose size is known, e.g. traffic signs in the presented case and exploit their relative sizes and positions in the image to perform the calibration under some assumptions about possible spatial distribution of the objects, e.g. their positioning on a plane in the presented case. The paper describes related work and the method itself, shows and discusses the results and proposes possible extensions. (en)
Title
  • Simple Single View Scene Calibration
  • Simple Single View Scene Calibration (en)
skos:prefLabel
  • Simple Single View Scene Calibration
  • Simple Single View Scene Calibration (en)
skos:notation
  • RIV/00216305:26230/11:PU96001!RIV13-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(2B06052), P(7E08063), 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
  • 229308
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/11:PU96001
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Scene Calibration, Scene Reconstruction, Euclidean Reconstruction, Single View, Automatic Parameters Estimation, Principal Component Analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B839FC5EE161]
http://linked.open...v/mistoKonaniAkce
  • Het Pand, Ghent, Belgium
http://linked.open...i/riv/mistoVydani
  • Ghent
http://linked.open...i/riv/nazevZdroje
  • Advanced Concepts for Intelligent Vision 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
  • Přibyl, Bronislav
  • Zemčík, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-23687-7
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-23686-0
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, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software