Evaluation of Using Mobile Devices for 3D Reconstruction of Cultural Heritage Artifacts

Abstract

This work aims to examine the reliability of smartphones that incorporate 3D depth sensors for 3D reconstruction of cultural heritage objects. The main focus is to compare the models generated with two image-based methods: photogrammetry and Tango Constructor application. The result are promising, showings that Tango-based method is an efficient way for 3D reconstruction of historical artifacts and is able to provide morphometric data comparable with photogrammetry-based data. The method can provide restorers a quick way to record vast amount of data, combined with sufficient accuracy and ease-of-use and this make it a potential alternative to conventional methods, like photogrammetry or laser scanning.

Mobile Phone Imaging for Ch Façade Modelling

“…Starting from first metrological evaluations on their application in metrology field (Gruen, Arka, 2007;Masiero et al 2018), they can be actually used in different fields, from biomedical and medical analysis (Salazar-Gamarra, 2016) to archaeological (Zollhöfer et al 2016) and territorial survey (Selin Ozturk et al 2019;Micheletti et al 2015;Shatnawi, Taleb Obaidat, 2019). Besides, also the ranging scale has been verified, starting from the architectural analysis (Boboc et al 2018) to the sculptural and decorative studies (Di Paola, Inzerillo, 2018). The image acquisition activity has been tested in static conditions with inertial sensors (Pintore et al 2016) and working in real time set-up (Ondruska et al 2015;Al Hamad, El Sheimy, 2014).…”

The Effects of Incorrect Occlusion Cues on the Understanding of Barehanded Referencing in Collaborative Augmented Reality

“…In theory, incorrect occlusion can be resolved with the availability of complete physical models of the real-world objects in an AR scene. Despite previous research in making real-world objects (including the human body) occlude virtual content correctly (Kiyokawa et al, 2003;Mendez and Schmalstieg, 2009;Boboc et al, 2019), it is still challenging and computationally costly for these AR systems to obtain perfect models of dynamic objects in the physical world, such as human hands. In a recent endeavor, Yoon et al (2020) evaluated user perception of remote virtual hand models of varying fidelity in hand-based 3D remote collaboration using both AR and VR headsets.…”

“…Prior research has investigated incorrect occlusion in AR, going back to Breen et al (Breen et al, 1996). While there exist many previous works that address the problem of incorrect occlusion, most have studied the problem from a single user's egocentric perspective (Kiyokawa et al, 2003;Hayashi et al, 2005;Mendez and Schmalstieg, 2009;Boboc et al, 2019), as shown in Figure 2. In this work, we focus on the observer's perspective (Figure 2, ➀, ➁.…”

A Critical Comparison of 3D Digitization Techniques for Heritage Objects

“…Metric evaluations have been carried out regarding heritage objects, by Remondino et al [22], Nabil and Saleh [23], Galizia et al [24], Bianconi et al [25] for SfM software, by Evgenikou and Georgopoulos [26] and Menna et al [27] on scanning versus SfM photogrammetric software approaches and by Kersten et al [28,29] and Morena et al [30] for portable/handheld scanners. Additionally, due to recent significant improvements in mobile phone camera technology, regarding sensors' quality and camera software performance, smartphone cameras have been evaluated for the posttexturing of models from active sensors and for the direct image-based metric modeling of heritage objects [31][32][33]. Despite frequent assessments concerning the aforementioned digitization techniques being found in bibliography, they quickly become outdated due to the rapid technological developments.…”