A Compact Parametric Solution to Depth Sensor Calibration
Andrew Spek and Tom Drummond
Abstract
We present a method for calibration of low-cost depth sensors such as the Microsoft
Kinect. We show this method is effective at correcting the structured sensor error using a
compact parametric solution, that uses only a small fraction of the number of parameters
used in many existing approaches. Additionally we provide this calibration as an open-source implementation, with limited required external dependencies. We demonstrate
our approach can optimise directly for a geometric depth and radial distortion calibration
function in minutes on modern hardware. We demonstrate our approach can optimise directly for a geometric depth and radial distortion calibration function in minutes on modern hardware.
Session
Posters
Files
Paper (PDF)
DOI
10.5244/C.31.179
https://dx.doi.org/10.5244/C.31.179
Citation
Andrew Spek and Tom Drummond. A Compact Parametric Solution to Depth Sensor Calibration. In T.K. Kim, S. Zafeiriou, G. Brostow and K. Mikolajczyk, editors, Proceedings of the British Machine Vision Conference (BMVC), pages 179.1-179.12. BMVA Press, September 2017.
Bibtex
@inproceedings{BMVC2017_179,
title={A Compact Parametric Solution to Depth Sensor Calibration},
author={Andrew Spek and Tom Drummond},
year={2017},
month={September},
pages={179.1-179.12},
articleno={179},
numpages={12},
booktitle={Proceedings of the British Machine Vision Conference (BMVC)},
publisher={BMVA Press},
editor={Tae-Kyun Kim, Stefanos Zafeiriou, Gabriel Brostow and Krystian Mikolajczyk},
doi={10.5244/C.31.179},
isbn={1-901725-60-X},
url={https://dx.doi.org/10.5244/C.31.179}
}