Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00345990" target="_blank" >RIV/68407700:21230/20:00345990 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/20:00345990
Result on the web
<a href="https://doi.org/10.1007/978-3-030-58558-7_41" target="_blank" >https://doi.org/10.1007/978-3-030-58558-7_41</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-58558-7_41" target="_blank" >10.1007/978-3-030-58558-7_41</a>
Alternative languages
Result language
angličtina
Original language name
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion
Original language description
The internal geometry of most modern consumer cameras is not adequately described by the perspective projection. Almost all cameras exhibit some radial lens distortion and are equipped with electronic rolling shutter that induces distortions when the camera moves during the image capture. When focal length has not been calibrated offline, the parameters that describe the radial and rolling shutter distortions are usually unknown. While, for global shutter cameras, minimal solvers for the absolute camera pose and unknown focal length and radial distortion are available, solvers for the rolling shutter were missing. We present the first minimal solutions for the absolute pose of a rolling shutter camera with unknown rolling shutter parameters, focal length, and radial distortion. Our new minimal solvers combine iterative schemes designed for calibrated rolling shutter cameras with fast generalized eigenvalue and Groebner basis solvers. In a series of experiments, with both synthetic and real data, we show that our new solvers provide accurate estimates of the camera pose, rolling shutter parameters, focal length, and radial distortion parameters. The implementation of our solvers is available at github.com/CenekAlbl/RnP
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
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 2020, Part V
ISBN
978-3-030-58557-0
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
17
Pages from-to
698-714
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Glasgow
Event date
Aug 23, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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