Szczegóły publikacji

Opis bibliograficzny

A simple way to reduce 3D model deformation in smartphone photogrammetry / Aleksandra JASIŃSKA, Krystian PYKA, Elżbieta Pastucha, Henrik Skov Midtiby // Sensors [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1424-8220. — 2023 — vol. 23 iss. 2 art. no. 728, s. 1–15. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 11–15, Abstr. — Publikacja dostępna online od: 2023-01-09


Autorzy (4)


Słowa kluczowe

3D reconstructionphotogrammetrysmartphonestructure from motioncamera calibration

Dane bibliometryczne

ID BaDAP144985
Data dodania do BaDAP2023-01-31
Tekst źródłowyURL
DOI10.3390/s23020728
Rok publikacji2023
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaSensors

Abstract

Recently, the term smartphone photogrammetry gained popularity. This suggests that photogrammetry may become a simple measurement tool by virtually every smartphone user. The research was undertaken to clarify whether it is appropriate to use the Structure from Motion—Multi Stereo View (SfM-MVS) procedure with self-calibration as it is done in Uncrewed Aerial Vehicle photogrammetry. First, the geometric stability of smartphone cameras was tested. Fourteen smartphones were calibrated on the checkerboard test field. The process was repeated multiple times. These observations were found: (1) most smartphone cameras have lower stability of the internal orientation parameters than a Digital Single-Lens Reflex (DSLR) camera, and (2) the principal distance and position of the principal point are constantly changing. Then, based on images from two selected smartphones, 3D models of a small sculpture were developed. The SfM-MVS method was used, with self-calibration and pre-calibration variants. By comparing the resultant models with the reference DSLR-created model it was shown that introducing calibration obtained in the test field instead of self-calibration improves the geometry of 3D models. In particular, deformations of local concavities and convexities decreased. In conclusion, there is real potential in smartphone photogrammetry, but it also has its limits.

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