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A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry.

Aleksandra Jasińska¹, Krystian Pyka¹, Elżbieta Pastucha²

¹Faculty of Geo-Data Science, Geodesy, and Environmental Engineering, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Cracow, Poland.

Sensors (Basel, Switzerland)

|January 21, 2023

Summary

Smartphone photogrammetry shows potential but has limitations. Pre-calibration improves 3D model accuracy over self-calibration, especially for smartphone cameras which exhibit less stable internal parameters than DSLR cameras.

Keywords:

3D reconstruction camera calibration photogrammetry smartphone structure from motion

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Area of Science:

Geomatics Engineering
Computer Vision
Digital Imaging

Background:

Smartphone photogrammetry is emerging as an accessible measurement tool.
Its suitability for Structure from Motion-Multi Stereo View (SfM-MVS) with self-calibration requires investigation.
Comparison with Uncrewed Aerial Vehicle (UAV) photogrammetry practices is relevant.

Purpose of the Study:

To assess the geometric stability of smartphone cameras for photogrammetry.
To evaluate the effectiveness of SfM-MVS with self-calibration versus pre-calibration using smartphone imagery.
To determine the accuracy and limitations of smartphone photogrammetry for 3D model generation.

Main Methods:

Geometric stability testing of 14 smartphone cameras using a checkerboard test field.
Calibration of internal orientation parameters, repeated multiple times.
Generation of 3D models of a sculpture using SfM-MVS with self-calibration and pre-calibration variants.
Comparison of smartphone-generated models against a reference model created with a Digital Single-Lens Reflex (DSLR) camera.

Main Results:

Smartphone cameras demonstrated lower internal orientation parameter stability compared to DSLR cameras.
Principal distance and principal point position were found to be unstable in smartphone cameras.
Pre-calibration using test field data improved 3D model geometry over self-calibration, reducing local deformations.

Conclusions:

Smartphone photogrammetry has significant potential for widespread use.
The inherent instability of smartphone camera parameters necessitates careful calibration.
Pre-calibration is recommended over self-calibration for improved geometric accuracy in smartphone photogrammetry applications.