This HTML5 document contains 45 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n5http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n18http://purl.org/net/nknouf/ns/bibtex#
n15http://localhost/temp/predkladatel/
n20http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n6http://linked.opendata.cz/ontology/domain/vavai/
n11https://schema.org/
n10http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/
skoshttp://www.w3.org/2004/02/skos/core#
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n13http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F68407700%3A21230%2F07%3A03135486%21RIV08-MSM-21230___/
n14http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n17http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n9http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F07%3A03135486%21RIV08-MSM-21230___
rdf:type
n6:Vysledek skos:Concept
dcterms:description
Epipolar geometry and relative camera pose computation for uncalibrated cameras with radial distortion has recently been formulated as a minimal problem and successfully solved in floating point arithmetics. The singularity of the fundamental matrix has been used to reduce the minimal number of points to eight. It was assumed that the cameras were not calibrated but had same distortions. In this paper we formulate two new minimal problems for estimating epipolar geometry of cameras with radial distortion. First we present a minimal algorithm for partially calibrated cameras with same radial distortion. Using the trace constraint which holds for the epipolar geometry of calibrated cameras to reduce the number of necessary points from eight to six. We demonstrate that the problem is solvable in exact rational arithmetics. Secondly, we present a minimal algorithm for uncalibrated cameras with different radial distortions. We show that the problem can be solved using nine points in two vie Epipolar geometry and relative camera pose computation for uncalibrated cameras with radial distortion has recently been formulated as a minimal problem and successfully solved in floating point arithmetics. The singularity of the fundamental matrix has been used to reduce the minimal number of points to eight. It was assumed that the cameras were not calibrated but had same distortions. In this paper we formulate two new minimal problems for estimating epipolar geometry of cameras with radial distortion. First we present a minimal algorithm for partially calibrated cameras with same radial distortion. Using the trace constraint which holds for the epipolar geometry of calibrated cameras to reduce the number of necessary points from eight to six. We demonstrate that the problem is solvable in exact rational arithmetics. Secondly, we present a minimal algorithm for uncalibrated cameras with different radial distortions. We show that the problem can be solved using nine points in two vie Epipolar geometry and relative camera pose computation for uncalibrated cameras with radial distortion has recently been formulated as a minimal problem and successfully solved in floating point arithmetics. The singularity of the fundamental matrix has been used to reduce the minimal number of points to eight. It was assumed that the cameras were not calibrated but had same distortions. In this paper we formulate two new minimal problems for estimating epipolar geometry of cameras with radial distortion. First we present a minimal algorithm for partially calibrated cameras with same radial distortion. Using the trace constraint which holds for the epipolar geometry of calibrated cameras to reduce the number of necessary points from eight to six. We demonstrate that the problem is solvable in exact rational arithmetics. Secondly, we present a minimal algorithm for uncalibrated cameras with different radial distortions. We show that the problem can be solved using nine points in two vie
dcterms:title
Two Minimal Problems for Cameras with Radial Distortion Two Minimal Problems for Cameras with Radial Distortion Two Minimal Problems for Cameras with Radial Distortion
skos:prefLabel
Two Minimal Problems for Cameras with Radial Distortion Two Minimal Problems for Cameras with Radial Distortion Two Minimal Problems for Cameras with Radial Distortion
skos:notation
RIV/68407700:21230/07:03135486!RIV08-MSM-21230___
n4:strany
Nečíslováno
n4:aktivita
n12:Z
n4:aktivity
Z(MSM6840770038)
n4:dodaniDat
n9:2008
n4:domaciTvurceVysledku
n20:6245269 n20:6349390
n4:druhVysledku
n19:D
n4:duvernostUdaju
n7:S
n4:entitaPredkladatele
n13:predkladatel
n4:idSjednocenehoVysledku
456116
n4:idVysledku
RIV/68407700:21230/07:03135486
n4:jazykVysledku
n17:eng
n4:klicovaSlova
Gröbner basis; minimal problems; radial distortion
n4:klicoveSlovo
n14:minimal%20problems n14:radial%20distortion n14:Gr%C3%B6bner%20basis
n4:kontrolniKodProRIV
[27D40823F613]
n4:mistoKonaniAkce
Rio de Janeiro
n4:mistoVydani
Madison
n4:nazevZdroje
Proceedings of Omnivis 2007: Workshop on Omnidirectional Vision and Camera Networks and Non-classical Cameras
n4:obor
n16:JD
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:rokUplatneniVysledku
n9:2007
n4:tvurceVysledku
Pajdla, Tomáš Kúkelová, Zuzana
n4:typAkce
n5:WRD
n4:zahajeniAkce
2007-10-20+02:00
n4:zamer
n10:MSM6840770038
s:numberOfPages
8
n18:hasPublisher
Omnipress
n11:isbn
978-1-4244-1630-1
n15:organizacniJednotka
21230