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Authors: Ju-Hwan Lee and Soon-Yong Park

Affiliation: School of Computer Science & Engineering, Kyungpook National University, Daegu and South Korea

Keyword(s): Calibration, Foot Scanner, Reconstruction, Structured Light Sensor.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Device Calibration, Characterization and Modeling ; Geometry and Modeling ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Image-Based Modeling ; Pattern Recognition ; Software Engineering

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Lee, J. and Park, S. (2019). Calibration of Two 3D Sensors with Perpendicular Scanning Directions by using a Piece of Paper. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 162-168. DOI: 10.5220/0007383301620168

@conference{visapp19,
author={Ju{-}Hwan Lee. and Soon{-}Yong Park.},
title={Calibration of Two 3D Sensors with Perpendicular Scanning Directions by using a Piece of Paper},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={162-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007383301620168},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP
TI - Calibration of Two 3D Sensors with Perpendicular Scanning Directions by using a Piece of Paper
SN - 978-989-758-354-4
IS - 2184-4321
AU - Lee, J.
AU - Park, S.
PY - 2019
SP - 162
EP - 168
DO - 10.5220/0007383301620168
PB - SciTePress