Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00377191" target="_blank" >RIV/68407700:21230/25:00377191 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/25:00377191
Result on the web
<a href="https://doi.org/10.1007/978-3-031-91569-7_7" target="_blank" >https://doi.org/10.1007/978-3-031-91569-7_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-91569-7_7" target="_blank" >10.1007/978-3-031-91569-7_7</a>
Alternative languages
Result language
angličtina
Original language name
Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?
Original language description
Estimating the relative pose between two cameras is a fundamental step in many applications such as Structure-from-Motion. The common approach to relative pose estimation is to apply a minimal solver inside a RANSAC loop. Highly efficient solvers exist for pinhole cameras. Yet, (nearly) all cameras exhibit radial distortion. Not modeling radial distortion leads to (significantly) worse results. However, minimal radial distortion solvers are significantly more complex than pinhole solvers, both in terms of run-time and implementation efforts. This paper compares radial distortion solvers with a simple-to-implement baseline that combines an efficient pinhole solver with sampled radial distortion parameters. Extensive experiments on multiple datasets and RANSAC variants show that this simple baseline performs similarly or better than the most accurate minimal distortion solvers at faster run-times while being significantly more accurate than faster non-minimal solvers. Our results clearly show that complex radial distortion solvers are not necessary in practice. We will make the code and a new benchmark available.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
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/GM22-23183M" target="_blank" >GM22-23183M: New generation of camera geometry solvers</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ECCV 2024 Workshops - Half-Century of Structure-from-Motion
ISBN
978-3-031-91568-0
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
17
Pages from-to
91-107
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Milano
Event date
Sep 29, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001544976800007