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D3MOBILE METROLOGY WORLD LEAGUE: TRAINING SECONDARY STUDENTS ON SMARTPHONE-BASED PHOTOGRAMMETRY

Authors: Juan Ortiz-Sanz; Mariluz Gil-Docampo; T. Rego-Sanmartín; Marcos Arza-García; Grazia Tucci; E. I. Parisi; Valentina Bonora; +1 Authors

D3MOBILE METROLOGY WORLD LEAGUE: TRAINING SECONDARY STUDENTS ON SMARTPHONE-BASED PHOTOGRAMMETRY

Abstract

Abstract. The advent of the smartphones brought with them higher processing capabilities and improved camera specifications which boosted the applications of mobile-based imagery in a range of domains. One of them is the 3-D reconstruction of objects by means of photogrammetry, which now enjoys great popularity. This fact brings potential opportunities to develop educational procedures in high schools using smartphone-based 3-D scanning techniques. On this basis, we designed a Project Based e-Learning (PBeL) initiative to introduce secondary students to the disciplines of photogrammetry through the use of their mobile phones in an attractive and challenging way for them. The paper describes the motivation behind the project "D3MOBILE Metrology World League”, supported by ISPRS as part of the "Educational and Capacity Building Initiative 2020" programme. With this Science, Technology, Engineering and Mathematics (STEM) initiative, we implement a methodology with the format of an international competition, that can be adapted to daily classwork at the high school level anywhere in the world. Therefore, the championship is essentially structured around a collection of well-thought-out e-learning materials (text guidelines, video tutorials, proposed exercises, etc.), providing a more flexible access to content and instruction at any time and from any place. The methodology allows students to gain spatial skills and to practice other transversal abilities, learn the basics of photogrammetric techniques and workflows, gain experience in the 3-D modelling of simple objects and practice a range of techniques related to the science of measurement.

Countries
Spain, Italy
Subjects by Vocabulary

Library of Congress Subject Headings: lcsh:Applied optics. Photonics lcsh:Technology lcsh:T lcsh:TA1501-1820 lcsh:TA1-2040 lcsh:Engineering (General). Civil engineering (General)

Microsoft Academic Graph classification: League computer.software_genre Training (civil) Championship Multimedia Capacity building Popularity Metrology Photogrammetry Workflow computer

Keywords

Education, Free apps, Education, 3D Scanning, Mobile phones, STEM, Free apps, Challenges, Mobile phones, Challenges, 3-D Scanning, STEM

Angelats, E., Parés, M., & Kumar, P., 2018. Feasibility of smartphone based photogrammetric point clouds for the generation of accessibility maps. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(2), 35-41.

https://doi.org/10.5194/isprs-archives-XLII-2-35-2018 Barbero-García, I., Lerma, J. L., Miranda, P., & Marqués-Mateu, A., 2019. Smartphone-based photogrammetric 3D modelling assessment by comparison with radiological medical imaging for cranial deformation analysis. Measurement: Journal of the International Measurement Confederation, 131, 372-379.

https://doi.org/10.1016/j.measurement.2018.08.059 Cignoni, P., Callieri, M., Corsini, M., Dellepiane, M., Ganovelli, F., & Ranzuglia, G., 2008. MeshLab: An open-source mesh processing tool. 6th Eurographics Italian Chapter ConferenceProceedings, 129-136. https://doi.org /10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2008/1 29-136 Dabove, P., Grasso, N., & Piras, M., 2019. Smartphone-based photogrammetry for the 3D modeling of a geomorphological structure. Applied Sciences, 9(18).

https://doi.org/10.3390/app9183884 Fernández-Lozano, J., & Gutiérrez Alonso, G., 2016. Aula 3.0: Una nueva forma de aprender geología. El uso de las apps Trnio y Skechfab para construir modelos. Enseñanza de Las Ciencias de La Tierra, 24(2), 163-168.

Gaiani, M., Apollonio, F. I., & Fantini, F., 2019. Evaluating smartphones color fidelity and metric accuracy for the 3d documentation of small artifacts. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42(2/W11), 539-547. https://doi.org/10.5194/isprsArchives-XLII-2-W11-539-2019 Gil-Docampo, M., Ortiz-Sanz, J., Rego-Sanmartin, T., & ArzaGarcia, M., 2019. A world wide web-based practice that disseminates photogrammetry: Inspiring secondary students to pursue geomatics careers. IEEE Geoscience and Remote Sensing Magazine, 7(1), 86-97. [OpenAIRE]

https://doi.org/10.1109/MGRS.2018.2876565 Hess, M., Garside, D., Nelson, T., Robson, S., & Weyrich, T., 2017. Object-based teaching and learning for a critical

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
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