||Article in Proceedings
||Christoph Hertzberg, Udo Frese
||Joaquim Filipe, Oleg Gusikhin, Kurosh Madani, Jurek Sasiadek
||Detailed Modeling and Calibration of a Time-of-Flight Camera
|Book / Collection title:
||ICINCO 2014 -- 11th International Conference on Informatics in Control, Automation and Robotics
||568 – 579
SCITEPRESS Digital Library
In this paper we propose a physically motivated sensor model of
We provide methods to calibrate our proposed model and compensate all modeled
This enables us to reliably detect and filter out inconsistent measurements and
to record high dynamic range (HDR) images.
We believe that HDR images have a significant benefit especially
for mapping narrow-spaced environments as in urban search and rescue.
We provide methods to invert our model in real-time and gain significantly
higher precision than using the vendor-provided sensor driver.
In contrast to previously published purely phenomenological
calibration methods our model is physically motivated and thus better captures
the structure of the different effects involved.
24. 10. 2014