Computation of Epipolar Geometry and Trifocal Tensor from Spherical Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A00135417" target="_blank" >RIV/68407700:21230/07:00135417 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Computation of Epipolar Geometry and Trifocal Tensor from Spherical Images
Original language 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. Generallyspeaking, 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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F07%2F1136" target="_blank" >GA201/07/1136: Mathematics of Uncertainty</a><br>
Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CVWW 2007: Proceedings of the 12th Computer Vision Winter Workshop
ISBN
978-3-902465-60-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Verlag der Technischen Universität Graz
Place of publication
Graz
Event location
St. Lambrecht
Event date
Feb 6, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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