An Open-Source Web Platform for 3D Documentation and Storytelling of Hidden Cultural Heritage

IF 2 0 HUMANITIES, MULTIDISCIPLINARY
Heritage Pub Date : 2024-01-23 DOI:10.3390/heritage7020025
F. Gaspari, Federico Barbieri, R. Fascia, F. Ioli, Livio Pinto
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引用次数: 0

Abstract

The rapid evolution of the urban landscape highlights the need to digitally document the state and historical transformations of heritage sites in densely urbanised areas through the combination of different geomatics survey approaches. Moreover, it is necessary to raise awareness of sites by developing strategies for their dissemination to a diverse audience through engaging, interactive, and accessible 3D web platforms. This work illustrates a methodology for the digital documentation and narration of a cultural heritage site through the implementation of a lightweight and replicable 3D navigation platform based on open-source technologies. Such a solution aims to be an easy-to-implement low-cost approach. The methodology is applied to the case study of the Farnese Castle in Piacenza (Italy), describing the data collection and documentation carried out with an in situ survey and illustrating how the resulting products were integrated into the web platform. The exploration functionalities of the platform and its potential for different types of audiences, from experts to users not familiar with 3D objects and geomatics products, were evaluated and documented on a ReadTheDocs website, allowing interested users to reproduce the project for other applications thanks to the template code available on GitHub.
用于三维记录和讲述隐藏文化遗产故事的开源网络平台
城市景观的快速演变突出表明,有必要通过结合不同的地理信息调查方法,以数字方式记录城市密集地区遗产地的状况和历史变迁。此外,有必要制定战略,通过具有吸引力、互动性和可访问性的 3D 网络平台向不同受众传播遗址信息,从而提高人们对遗址的认识。这项工作说明了通过实施基于开源技术的轻量级和可复制的三维导航平台,对文化遗址进行数字化记录和叙述的方法。这种解决方案旨在成为一种易于实施的低成本方法。该方法应用于皮亚琴察法尔内塞城堡(意大利)的案例研究,描述了通过现场调查进行的数据收集和记录,并说明了如何将所得产品集成到网络平台中。在 ReadTheDocs 网站上对该平台的探索功能及其针对不同类型受众(从专家到不熟悉三维物体和地理信息产品的用户)的潜力进行了评估和记录,使感兴趣的用户能够利用 GitHub 上提供的模板代码在其他应用中复制该项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Heritage
Heritage Multiple-
CiteScore
2.90
自引率
17.60%
发文量
165
审稿时长
10 weeks
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