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Authors: Maik Benndorf 1 ; Maximilian Jugl 2 ; Thomas Haenselmann 2 and Martin Gaedke 1

Affiliations: 1 Department of Computer Science, Technische Universität Chemnitz, Chemnitz, Germany ; 2 Faculty Applied Computer Sciences & Biosciences, University of Applied Sciences Mittweida, Germany

Keyword(s): Spatial Measurement, Pinhole Camera Theory, Stereoscopy, Android.

Abstract: In a disaster scenario, a quick decision must be made whether a bridge is stable enough to be used. The natural frequencies of a bridge can provide information about its condition. The actual frequencies (e.g. measured by the acceleration sensor built into a smartphone) must be compared with the desired frequencies. The desired frequencies can be approximated for example with the Finite Element Method (FEM).Among other parameters, the FEM requires the dimensions of the bridge. Numerous applications for spatial measurement for different purposes are offered in the mobile App-stores. However, most of these apps are limited to short distances of up to five meters and are not suitable for the aforementioned scenario. In this article, we present NAND-Measure - an application for spatial measurements for short distances (below one meter) up to distances of 50 meters. Two methods have been implemented - a stereoscopic approach with a single camera and an approach based on the pinhole camera model. Both methods were evaluated by taking sixty over different distances. Overall, the approach based on the pinhole camera model was more accurate and showed smaller deviations. (More)

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Paper citation in several formats:
Benndorf, M.; Jugl, M.; Haenselmann, T. and Gaedke, M. (2021). NAND-measure: An Android App for Marker-based Spatial Measurement. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 646-652. DOI: 10.5220/0010196206460652

@conference{visapp21,
author={Maik Benndorf. and Maximilian Jugl. and Thomas Haenselmann. and Martin Gaedke.},
title={NAND-measure: An Android App for Marker-based Spatial Measurement},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={646-652},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010196206460652},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - NAND-measure: An Android App for Marker-based Spatial Measurement
SN - 978-989-758-488-6
IS - 2184-4321
AU - Benndorf, M.
AU - Jugl, M.
AU - Haenselmann, T.
AU - Gaedke, M.
PY - 2021
SP - 646
EP - 652
DO - 10.5220/0010196206460652
PB - SciTePress

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