Automatic 3D Modeling and Reconstruction of Cultural Heritage Sites from Twitter Images

Anastasios Doulamis, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis and Konstantinos Makantasis
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Anastasios Doulamis: School of Rural and Surveying Engineering, National Technical University of Athens, 15780 Athens, Greece
Athanasios Voulodimos: Department of Informatics and Computer Engineering, University of West Attica, 12243 Athens, Greece
Eftychios Protopapadakis: School of Rural and Surveying Engineering, National Technical University of Athens, 15780 Athens, Greece
Nikolaos Doulamis: School of Rural and Surveying Engineering, National Technical University of Athens, 15780 Athens, Greece
Konstantinos Makantasis: Institute of Digital Games, University of Malta, VLT 1216 Valletta, Malta

Sustainability, 2020, vol. 12, issue 10, 1-18

Abstract: This paper presents an approach for leveraging the abundance of images posted on social media like Twitter for large scale 3D reconstruction of cultural heritage landmarks. Twitter allows users to post short messages, including photos, describing a plethora of activities or events, e.g., tweets are used by travelers on vacation, capturing images from various cultural heritage assets. As such, a great number of images are available online, able to drive a successful 3D reconstruction process. However, reconstruction of any asset, based on images mined from Twitter, presents several challenges. There are three main steps that have to be considered: (i) tweets’ content identification, (ii) image retrieval and filtering, and (iii) 3D reconstruction. The proposed approach first extracts key events from unstructured tweet messages and then identifies cultural activities and landmarks. The second stage is the application of a content-based filtering method so that only a small but representative portion of cultural images are selected to support fast 3D reconstruction. The proposed methods are experimentally evaluated using real-world data and comparisons verify the effectiveness of the proposed scheme.

Keywords: 3D modeling; 3D reconstruction; event detection; Twitter; spectral clustering; cultural heritage (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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