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Rolling Shutter Cam...
Rolling Shutter Camera Absolute Pose
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- Albl, Cenek (författare)
- Czech Technical University in Prague
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- Kukelova, Zuzana (författare)
- Czech Technical University in Prague
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- Larsson, Viktor (författare)
- Lund University,Lunds universitet,Mathematical Imaging Group,Forskargrupper vid Lunds universitet,Lund University Research Groups,ETH Zürich
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- Pajdla, Tomas (författare)
- Czech Technical University in Prague
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(creator_code:org_t)
- 2020
- 2020
- Engelska 14 s.
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Ingår i: IEEE Transactions on Pattern Analysis and Machine Intelligence. - 0162-8828. ; 42:6, s. 1439-1452
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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 any 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 a non-linear refinement using a rolling shutter model.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- camera absolute pose
- Computer vision
- minimal problems
- rolling shutter
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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