We present four raycast-based techniques that determine the transformation between a depth camera\u0027s coordinate system and the coordinate system defined by a rectangular surface. In addition, the surface\u0027s dimensions are measured. In contrast to other approaches, these techniques limit additional hardware requirements to commonly available, low-cost artifacts and focus on simple non-laborious procedures. A preliminary study examining our Kinect~v2-based proof of concept revealed promising first results. The utilized software is available as an open-source project.
%0 Conference Paper
%1 wiebusch2016lowcost
%A Wiebusch, Dennis
%A Fischbach, Martin
%A Niebling, Florian
%A Latoschik, Marc Erich
%B Proceedings of the 23rd IEEE Virtual Reality (IEEE VR) conference
%D 2016
%K calibration myown registration tracking
%T Low-Cost Raycast-based Coordinate System Registration for Consumer Depth Cameras
%U https://downloads.hci.informatik.uni-wuerzburg.de/2016-ieeevr-poster-calibration.pdf
%X We present four raycast-based techniques that determine the transformation between a depth camera\u0027s coordinate system and the coordinate system defined by a rectangular surface. In addition, the surface\u0027s dimensions are measured. In contrast to other approaches, these techniques limit additional hardware requirements to commonly available, low-cost artifacts and focus on simple non-laborious procedures. A preliminary study examining our Kinect~v2-based proof of concept revealed promising first results. The utilized software is available as an open-source project.
@inproceedings{wiebusch2016lowcost,
abstract = {We present four raycast-based techniques that determine the transformation between a depth camera\u0027s coordinate system and the coordinate system defined by a rectangular surface. In addition, the surface\u0027s dimensions are measured. In contrast to other approaches, these techniques limit additional hardware requirements to commonly available, low-cost artifacts and focus on simple non-laborious procedures. A preliminary study examining our Kinect~v2-based proof of concept revealed promising first results. The utilized software is available as an open-source project.},
added-at = {2016-01-21T09:10:38.000+0100},
author = {Wiebusch, Dennis and Fischbach, Martin and Niebling, Florian and Latoschik, Marc Erich},
biburl = {https://www.bibsonomy.org/bibtex/2a9a6cbb1b62405ddc98792953450c438/hci-uwb},
booktitle = {Proceedings of the 23rd IEEE Virtual Reality (IEEE VR) conference },
interhash = {10755065df4050fd3744b43d546072a4},
intrahash = {a9a6cbb1b62405ddc98792953450c438},
keywords = {calibration myown registration tracking},
organization = {IEEE},
timestamp = {2024-05-06T17:22:37.000+0200},
title = {Low-Cost Raycast-based Coordinate System Registration for Consumer Depth Cameras},
url = {https://downloads.hci.informatik.uni-wuerzburg.de/2016-ieeevr-poster-calibration.pdf},
year = 2016
}