On Calibration of a Low-Cost Time-of-Flight Camera
Abstract
Time-of-flight (ToF) cameras are becoming more and more popular in computer vision. In many applications 3D information delivered by a ToF camera is used, and it is very important to know the camera’s extrinsic and intrinsic parameters, as well as precise depth information. A straightforward algorithm to calibrate a ToF camera is to use a standard color camera calibration procedure [ 12 ], on the amplitude images. However, depth information delivered by ToF cameras is known to contain complex bias due to several error sources [ 6 ]. Additionally, it is desirable in many cases to determine the pose of the ToF camera relative to the other sensors used. In this work, we propose a method for joint color and ToF camera calibration, that determines extrinsic and intrinsic camera parameters and corrects depth bias. The calibration procedure requires a standard calibration board and around 20–30 images, as in case of a single color camera calibration. We evaluate the calibration quality in several experiments. The code for the calibration toolbox is made available online.
Cite
Text
Kuznetsova and Rosenhahn. "On Calibration of a Low-Cost Time-of-Flight Camera." European Conference on Computer Vision Workshops, 2014. doi:10.1007/978-3-319-16178-5_29Markdown
[Kuznetsova and Rosenhahn. "On Calibration of a Low-Cost Time-of-Flight Camera." European Conference on Computer Vision Workshops, 2014.](https://mlanthology.org/eccvw/2014/kuznetsova2014eccvw-calibration/) doi:10.1007/978-3-319-16178-5_29BibTeX
@inproceedings{kuznetsova2014eccvw-calibration,
title = {{On Calibration of a Low-Cost Time-of-Flight Camera}},
author = {Kuznetsova, Alina and Rosenhahn, Bodo},
booktitle = {European Conference on Computer Vision Workshops},
year = {2014},
pages = {415-427},
doi = {10.1007/978-3-319-16178-5_29},
url = {https://mlanthology.org/eccvw/2014/kuznetsova2014eccvw-calibration/}
}