R6P - Rolling Shutter Absolute Camera Pose

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

R6P - Rolling Shutter Absolute Camera Pose

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

R6P - Rolling Shutter Absolute Camera Pose

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/7E13015" target="_blank" >7E13015: Planetary Robotics Data Exploitation</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

9

Strana od-do

2292-2300

Název nakladatele

IEEE Computer Society Press

Místo vydání

New York

Místo konání akce

Boston

Datum konání akce

7. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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