@inproceedings{e22182af5ac24e87a1b757f5cc24e9d2,
title = "Calibration of two 3D sensors with perpendicular scanning directions by using a piece of paper",
abstract = "It is difficult to find the 3D transformation relationship between two 3D sensors when the scanning directions of the two sensors has very large angle, for example 90 degrees or more. In this paper, we propose a very simple and efficient calibration method to get 3D transformation between two 3D sensors using a piece of white-colored paper. A piece of white-colored paper is folded in a quadrangular pyramid shape. The paper calibration object is placed on the transparent acryl board to get the shape of the object from two 3D sensors whose scanning direction is about 90 degree. The performance of the proposed calibration method is verified through 3D model reconstruction experiments. The calibration error between two sensors is less than 0.5 mm.",
keywords = "Calibration, Foot Scanner, Reconstruction, Structured Light Sensor",
author = "Lee, {Ju Hwan} and Park, {Soon Yong}",
note = "Publisher Copyright: Copyright {\textcopyright} 2019 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved; 14th International Conference on Computer Vision Theory and Applications, VISAPP 2019 - Part of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019 ; Conference date: 25-02-2019 Through 27-02-2019",
year = "2019",
doi = "10.5220/0007383301620168",
language = "English",
series = "VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
publisher = "SciTePress",
pages = "162--168",
editor = "Andreas Kerren and Christophe Hurter and Jose Braz",
booktitle = "VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
}