O.C. Quispe-Enriquez et al., "Smartphone-Based Photogrammetry for Craniofacial 3D Modelling: A Preliminary Test", Proc. of 3DBODY.TECH 2023 - 14th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 17-18 Oct. 2023, #15, https://doi.org/10.15221/23.15.

Title:

Smartphone-Based Photogrammetry for Craniofacial 3D Modelling: A Preliminary Test

Authors:

Omar C. QUISPE-ENRIQUEZ, Juan Jose VALERO-LANZUELA, Sergio BASELGA, Gaspar MORA-NAVARRO, Jose Luis LERMA

Photogrammetry and Laser Scanning Research Group (GIFLE), Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politecnica de Valencia, Valencia, Spain

Abstract:

Craniofacial 3D models are used for various purposes, such as cranial morphological analysis, surgery planning, and prostheses, among others. Today, three-dimensional (3D) scanners are commonly used to obtain 3D models of patients' heads. Similarly, there is a chance to apply mobile devices (smartphones and tablets) that implement photogrammetric techniques to build craniofacial 3D models.
In this paper, a new photogrammetric solution to analyse cranial deformation, PhotoMeDAS (Photogrammetric Medical Deformation Assessment Solutions), is used to evaluate the quality of the system standalone or as part of an integrated photogrammetric pipeline.
Two preliminary results for achieving craniofacial 3D models with a current premium smartphone, the Samsung Galaxy S22, are presented. The first solution considered the Agisoft Metashape software which produced a dense point cloud and the textured craniofacial 3D model. The second result runs the mobile application PhotoMeDAS v. 1.7 to obtain a cranial 3D model of the same volunteer. The two results were compared with a reference 3D model obtained with the white light 3D scanner Academia 50.
The photogrammetric 3D model obtained with Metashape allowed the visualization of the morphological characteristics of the volunteer's head and face, similarly as with the Academia 50, even though its processing time required extensive filtering. However, PhotoMeDAS was extremely fast and delivered pinpoint accuracy for the cranial area after just a few minutes of data acquisition and subsequent autonomous processing.

Keywords:

mobile devices, photogrammetric, craniofacial 3D models, PhotoMeDAS, 3D scanner

Details/PDF/VIDEO:

Full paper: PDF
Presentation: VIDEO
Proceedings: 3DBODY.TECH 2023, 17-18 Oct. 2023, Lugano, Switzerland
Paper id#: 15
DOI: 10.15221/23.15

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