Rolling Shutter Camera Absolute Pose
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00327669" target="_blank" >RIV/68407700:21230/20:00327669 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/20:00327669
Result on the web
<a href="https://doi.org/10.1109/TPAMI.2019.2894395" target="_blank" >https://doi.org/10.1109/TPAMI.2019.2894395</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TPAMI.2019.2894395" target="_blank" >10.1109/TPAMI.2019.2894395</a>
Alternative languages
Result language
angličtina
Original language name
Rolling Shutter Camera Absolute Pose
Original language description
We present minimal, non-iterative solutions to the absolute pose problem for images from rolling shutter cameras. The absolute pose problem is a key problem in computer vision and rolling shutter is present in a vast majority of today’s digital cameras. We discuss several camera motion models and propose two feasible rolling shutter camera models for a polynomial solver. In previous work a linearized camera model was used that required an initial estimate of the camera orientation. We show how to simplify the system of equations and make this solver faster. Furthermore, we present a first solution of the non-linearized camera orientation model using the cayley parameterization. The new solver does not require an initial camera orientation estimate and therefore serves as a standalone solution to the rolling shutter camera pose problem from six 2D-to-3D correspondences. We show that our algorithms outperform P3P followed by non-linear refinement using rolling shutter model.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Pattern Analysis and Machine Intelligence
ISSN
0162-8828
e-ISSN
1939-3539
Volume of the periodical
42
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
1439-1452
UT code for WoS article
000535615700011
EID of the result in the Scopus database
2-s2.0-85084721776