New efficient solution to the absolute pose problem for camera 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%2F11%3A00175551" target="_blank" >RIV/68407700:21230/11:00175551 - 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
New efficient solution to the absolute pose problem for camera with unknown focal length and radial distortion
Original language description
In this paper we present a new efficient solution to the absolute pose problem for a camera with unknown focal length and radial distortion from four 2D-to-3D point correspondences. We propose to solve the problem separately for non-planar and for planarscenes. By decomposing the problem into these two situations we obtain simpler and more efficient solver than the previously known general solver. We demonstrate in synthetic and real experiments significant speedup as our new solvers are about 40x (non-planar) and 160x (planar) faster than the general solver. Moreover, we show that our two solvers can be joined into a new general solver, which gives comparable or better results than the existing general solver for of most planar as well as non-planarscenes.
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
<a href="/en/project/7E09062" target="_blank" >7E09062: Planetary Robotics Vision Ground Processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ACCV 2010: Proceedings of the 10th Asian Conference on Computer Vision, Part I
ISBN
978-3-642-19314-9
ISSN
0302-9743
e-ISSN
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Number of pages
14
Pages from-to
11-24
Publisher name
Springer
Place of publication
Berlin
Event location
Queenstown
Event date
Nov 8, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000296690900002