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Open AccessArticle

Smartphone-Based Photogrammetry for the 3D Modeling of a Geomorphological Structure

DIATI—Department of Environmental, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
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Appl. Sci. 2019, 9(18), 3884; https://doi.org/10.3390/app9183884
Received: 3 July 2019 / Revised: 1 September 2019 / Accepted: 8 September 2019 / Published: 16 September 2019
The geomatic survey in the speleological field is one of the main activities that allows for the adding of both a scientific and popular value to cave exploration, and it is of fundamental importance for a detailed knowledge of the hypogean cavity. Today, the available instruments, such as laser scanners and metric cameras, allow us to quickly acquire data and obtain accurate three-dimensional models, but they are still expensive, require a careful planning phase of the survey, as well as some operator experience for their management. This work analyzes the performance of a smartphone device for a close-range photogrammetry approach for the extraction of accurate three-dimensional information of an underground cave. The image datasets that were acquired with a high-end smartphone were processed using the Structure from Motion (SfM)-based approach for dense point cloud generation: different image-matching algorithms implemented in a commercial and an open source software and in a smartphone application were tested. In order to assess the reachable accuracy of the proposed procedure, the achieved results were compared with a reference dense point cloud obtained with a professional camera or a terrestrial laser scanner. The approach has shown a good performance in terms of geometrical accuracies, computational time and applicability. View Full-Text
Keywords: low-cost sensors; close-range photogrammetry; structure from motion; rapid mapping; smartphone; underground caves low-cost sensors; close-range photogrammetry; structure from motion; rapid mapping; smartphone; underground caves
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MDPI and ACS Style

Dabove, P.; Grasso, N.; Piras, M. Smartphone-Based Photogrammetry for the 3D Modeling of a Geomorphological Structure. Appl. Sci. 2019, 9, 3884.

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