R6P - Rolling Shutter Absolute Camera Pose
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235485" target="_blank" >RIV/68407700:21230/15:00235485 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CVPR.2015.7298842" target="_blank" >http://dx.doi.org/10.1109/CVPR.2015.7298842</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPR.2015.7298842" target="_blank" >10.1109/CVPR.2015.7298842</a>
Alternative languages
Result language
angličtina
Original language name
R6P - Rolling Shutter Absolute Camera Pose
Original language description
We present a minimal, non-iterative solution to the absolute pose problem for images from rolling shutter cameras. Absolute pose problem is a key problem in computer vision and rolli ng shutter is present in a vast majority of today's digital cameras. Wepropose several rolling s hutter camera models and verify their feasibility for a polynomial solver. A solution based on li nearized camera model is chosen and verified in several experiments. We use a linear approximatio n to the camera orientation, which is meaningful only around the identity rotation. We show that the standard P3P algorithm is able to estimate camera orientation within 6 degrees for camera rot ation velocity as high as 30deg/frame. Therefore we can use the standard P3P algorithm toestimat e camera orientation and to bring the camera rotation matrix close to the identity. Using this so lution, camera position, orientation, translational velocity and angular velocity can be computed using six 2D-to-3D correspondences
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/7E13015" target="_blank" >7E13015: Planetary Robotics Data Exploitation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CVPR 2015: Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISBN
978-1-4673-6964-0
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
2292-2300
Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
Boston
Event date
Jun 7, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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