Efficient Real-Time Radial Distortion Correction for UAVs
October 08, 2020 Β· Declared Dead Β· π IEEE Workshop/Winter Conference on Applications of Computer Vision
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Authors
Marcus Valtonen Γrnhag, Patrik Persson, MΓ₯rten WadenbΓ€ck, Kalle Γ
strΓΆm, Anders Heyden
arXiv ID
2010.04203
Category
cs.CV: Computer Vision
Cross-listed
cs.RO
Citations
5
Venue
IEEE Workshop/Winter Conference on Applications of Computer Vision
Last Checked
3 months ago
Abstract
In this paper we present a novel algorithm for onboard radial distortion correction for unmanned aerial vehicles (UAVs) equipped with an inertial measurement unit (IMU), that runs in real-time. This approach makes calibration procedures redundant, thus allowing for exchange of optics extemporaneously. By utilizing the IMU data, the cameras can be aligned with the gravity direction. This allows us to work with fewer degrees of freedom, and opens up for further intrinsic calibration. We propose a fast and robust minimal solver for simultaneously estimating the focal length, radial distortion profile and motion parameters from homographies. The proposed solver is tested on both synthetic and real data, and perform better or on par with state-of-the-art methods relying on pre-calibration procedures.
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