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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F07%3A00135417%21RIV11-GA0-21230___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
We formulate multiple view geometry for 3D reconstruction using a spherical-camera model as a normalized camera model expressing all central cameras. In the sense of geometry, a central camera is a collection of all rays incident to one point. Generally speaking, most cameras that are widely-used in the field of computer vision and robot vision are designed to fall into the central camera. This is because geometric and algebraic expressions of central cameras are simple compared to ones of non-central cameras. In the history of computer vision, the conventional cameras are modeled as pinhole cameras. However, the pinhole-camera model can not express catadioptric, dioptric, and panoramic cameras that also belong to the central cameras. For the use of the spherical-camera model as the normalized camera model of central cameras, we formulate the epipolar geometry and trifocal tensor for the recovery of the camera motions. The formulation based on spherical cameras simplifies the analysis We formulate multiple view geometry for 3D reconstruction using a spherical-camera model as a normalized camera model expressing all central cameras. In the sense of geometry, a central camera is a collection of all rays incident to one point. Generally speaking, most cameras that are widely-used in the field of computer vision and robot vision are designed to fall into the central camera. This is because geometric and algebraic expressions of central cameras are simple compared to ones of non-central cameras. In the history of computer vision, the conventional cameras are modeled as pinhole cameras. However, the pinhole-camera model can not express catadioptric, dioptric, and panoramic cameras that also belong to the central cameras. For the use of the spherical-camera model as the normalized camera model of central cameras, we formulate the epipolar geometry and trifocal tensor for the recovery of the camera motions. The formulation based on spherical cameras simplifies the analysis
dcterms:title
Computation of Epipolar Geometry and Trifocal Tensor from Spherical Images Computation of Epipolar Geometry and Trifocal Tensor from Spherical Images
skos:prefLabel
Computation of Epipolar Geometry and Trifocal Tensor from Spherical Images Computation of Epipolar Geometry and Trifocal Tensor from Spherical Images
skos:notation
RIV/68407700:21230/07:00135417!RIV11-GA0-21230___
n3:aktivita
n4:R n4:P
n3:aktivity
P(GA201/07/1136), R
n3:dodaniDat
n5:2011
n3:domaciTvurceVysledku
n14:1027832
n3:druhVysledku
n19:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
414591
n3:idVysledku
RIV/68407700:21230/07:00135417
n3:jazykVysledku
n16:eng
n3:klicovaSlova
Omnidirectional Vision; Two and Three View Geometry
n3:klicoveSlovo
n8:Omnidirectional%20Vision n8:Two%20and%20Three%20View%20Geometry
n3:kontrolniKodProRIV
[80FD8B6A0007]
n3:mistoKonaniAkce
St. Lambrecht
n3:mistoVydani
Graz
n3:nazevZdroje
CVWW 2007: Proceedings of the 12th Computer Vision Winter Workshop
n3:obor
n15:JD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n12:GA201%2F07%2F1136
n3:rokUplatneniVysledku
n5:2007
n3:tvurceVysledku
Torii, Akihiko Imiya, A.
n3:typAkce
n7:WRD
n3:zahajeniAkce
2007-02-06+01:00
s:numberOfPages
8
n18:hasPublisher
Verlag der Technischen Universität Graz
n20:isbn
978-3-902465-60-3
n6:organizacniJednotka
21230