Revisiting Radial Distortion Absolute Pose
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00335894" target="_blank" >RIV/68407700:21230/19:00335894 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICCV.2019.00115" target="_blank" >https://doi.org/10.1109/ICCV.2019.00115</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCV.2019.00115" target="_blank" >10.1109/ICCV.2019.00115</a>
Alternative languages
Result language
angličtina
Original language name
Revisiting Radial Distortion Absolute Pose
Original language description
To model radial distortion there are two main approaches; either the image points are undistorted such that they correspond to pinhole projections, or the pinhole projections are distorted such that they align with the image measurements. Depending on the application, either of the two approaches can be more suitable. For example, distortion models are commonly used in Structure-from-Motion since they simplify measuring the reprojection error in images. Surprisingly, all previous minimal solvers for pose estimation with radial distortion use undistortion models. In this paper we aim to fill this gap in the literature by proposing the first minimal solvers which can jointly estimate distortion models together with camera pose. We present a general approach which can handle rational models of arbitrary degree for both distortion and undistortion.
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
<a href="/en/project/EF17_050%2F0008025" target="_blank" >EF17_050/0008025: International Mobility of Researchers ? MSCA-IF in CTU</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2019 IEEE International Conference on Computer Vision (ICCV 2019)
ISBN
978-1-7281-4803-8
ISSN
1550-5499
e-ISSN
2380-7504
Number of pages
10
Pages from-to
1062-1071
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Seoul
Event date
Oct 27, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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