Structure from Omnidirectional Stereo Rig Motion for City Modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03144345" target="_blank" >RIV/68407700:21230/08:03144345 - 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
Structure from Omnidirectional Stereo Rig Motion for City Modeling
Original language description
This paper deals with a step towards a 3D reconstruction system for city modeling from omnidirectional video sequences using structure from motion together with stereo constraints. We concentrate on two issues. First, we show how the tracking and reconstruction paradigm were adapted to use omnidirectional images taken by lenses with 180 degrees field of view. This concerns mainly camera calibration transforming the pixel locations into rays and solving the minimal problem for 3D-to-2D matches using RANSAC. Secondly, we compare the results of the reconstruction using additional stereo constraints to the results when these constraints are not used and show that they are needed to make the reconstruction stable. Performance of the system is demonstrated on a sequence of 870 images acquired while driving in a city.
Czech name
Structure from Omnidirectional Stereo Rig Motion for City Modeling
Czech description
This paper deals with a step towards a 3D reconstruction system for city modeling from omnidirectional video sequences using structure from motion together with stereo constraints. We concentrate on two issues. First, we show how the tracking and reconstruction paradigm were adapted to use omnidirectional images taken by lenses with 180 degrees field of view. This concerns mainly camera calibration transforming the pixel locations into rays and solving the minimal problem for 3D-to-2D matches using RANSAC. Secondly, we compare the results of the reconstruction using additional stereo constraints to the results when these constraints are not used and show that they are needed to make the reconstruction stable. Performance of the system is demonstrated on a sequence of 870 images acquired while driving in a city.
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
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications
ISBN
978-989-8111-21-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
INSTICC Press
Place of publication
Setúbal
Event location
Funchal, Madeira
Event date
Jan 22, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000256791600066