Interactive immersive experience: Digital technologies for reconstruction and experiencing temple of Bel using crowdsourced images and 3D photogrammetric processes

IF 1.6 0 ARCHITECTURE
Nemeh Rihani
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引用次数: 1

Abstract

This paper investigates the potential of dense multi-image 3D photogrammetric reconstruction of destroyed cultural heritage monuments by employing public domain imagery for heritage site visitors. This work focuses on the digital reconstruction of the Temple of Bel, one of the heritage monuments in Palmyra, Syria, which was demolished in the summer of 2015 due to armed conflict. This temple is believed to be one of the most significant religious structures of the first century AD in the Middle East and North Africa (MENA) region with its unique design and condition before destruction actions. The process is carried out using solely one source of images; the freely available visitors’ images collected from the social media platforms and web search engines. This paper presents a digital 3D reconstruction workflow for the collected images using an advanced photogrammetry pipeline and dense image matching software. The virtually reconstructed outputs will be managed and implemented efficiently in Unity3D to create an entire 3D virtual interactive environment for the deconstructed temple to be visualised and experienced using the new Oculus Quest VR headset. The virtual Palmyra’s visitor will be offered an enhanced walk-through off-site interactive, immersive experience compared to the real-world one, which is non-existing and unobtainable at the site in the current time.
互动沉浸式体验:使用众包图像和3D摄影测量过程重建和体验贝尔神庙的数字技术
本文通过为遗产地游客使用公共领域图像,研究了密集多图像3D摄影测量重建被毁文化遗产古迹的潜力。这项工作的重点是对贝尔神庙的数字化重建,贝尔神庙是叙利亚帕尔米拉的遗产古迹之一,于2015年夏天因武装冲突而被拆除。这座寺庙被认为是公元一世纪中东和北非(MENA)地区最重要的宗教建筑之一,其独特的设计和破坏行动前的条件。该过程仅使用一个图像源进行;从社交媒体平台和网络搜索引擎收集的免费访问者的图像。本文提出了一种使用先进的摄影测量流水线和密集图像匹配软件对采集的图像进行数字三维重建的工作流程。虚拟重建的输出将在Unity3D中有效管理和实施,为解构的寺庙创建一个完整的3D虚拟互动环境,使用新的Oculus Quest VR耳机进行可视化和体验。与现实世界相比,虚拟帕尔米拉的游客将获得一种增强的场外互动、身临其境的体验,而现实世界是不存在的,目前在现场无法获得。
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
CiteScore
3.20
自引率
17.60%
发文量
44
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