Degeneracies in Rolling Shutter SfM
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00303737" target="_blank" >RIV/68407700:21230/16:00303737 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-46454-1_3" target="_blank" >http://dx.doi.org/10.1007/978-3-319-46454-1_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-46454-1_3" target="_blank" >10.1007/978-3-319-46454-1_3</a>
Alternative languages
Result language
angličtina
Original language name
Degeneracies in Rolling Shutter SfM
Original language description
We address the problem of Structure from Motion (SfM) with rolling shutter cameras. We first show that many common camera configurations, e.g. cameras with parallel readout directions, become critical and allow for a large class of ambiguities in multi-view reconstruction. We provide mathematical analysis for one, two and some multi-view cases and verify it by synthetic experiments. Next, we demonstrate that bundle adjustment with rolling shutter cameras, which are close to critical configurations, may still produce drastically deformed reconstructions. Finally, we provide practical recipes how to photograph with rolling shutter cameras to avoid scene deformations in SfM. We evaluate the recipes and provide a quantitative analysis of their performance in real experiments. Our results show how to reconstruct correct 3D models with rolling shutter cameras.
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
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part V
ISBN
978-3-319-46453-4
ISSN
0302-9743
e-ISSN
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Number of pages
16
Pages from-to
36-51
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
Amsterdam
Event date
Oct 8, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389385400003