The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIX-B4-2026
https://doi.org/10.5194/isprs-archives-XLIX-B4-2026-775-2026
https://doi.org/10.5194/isprs-archives-XLIX-B4-2026-775-2026
04 Aug 2026
 | 04 Aug 2026

3D Point Cloud–Based Digital Twin Reconstruction and VR Immersive Visualization of Borobudur’s Hidden Foot Reliefs

Satoshi Takatori, Jiajun Gao, Liang Li, Fadjar Ibnu Thufail, Brahmantara, and Satoshi Tanaka

Keywords: 3D Point Clouds, Digital Twin, Virtual Reality, Cultural Heritage, Semantic Segmentation, Level of Detail

Abstract. The Borobudur Temple’s Hidden Foot (Karmawibhangga layer), comprising 160 bas-relief panels sealed behind protective stone cladding since the early 20th century, presents a compelling challenge for digital cultural heritage practice. This paper presents a digital twin reconstruction and immersive virtual reality (VR) system that provides interactive access to this physically inaccessible archaeological space. The system integrates three pre-existing datasets: UAV photogrammetric point clouds of the outer temple structure, deep-learning-based 3D relief reconstructions derived from archival photographs (Pan et al., 2022), and semantic segmentation results of relief surfaces (Ji et al., 2023). Within a Unity 2022.3.22f1-based VR environment optimised for the HTC VIVE Pro Eye head-mounted display, these datasets are unified into a navigable Hidden Foot passage. A novel lighting-driven Level of Detail (LoD) strategy—where rendering complexity is governed by the illumination radius of a virtual torch—achieves 65–70 FPS on the HMD while preserving visual fidelity within the illuminated zone. Eye-gaze-triggered textual annotations support contextual iconographic interpretation, while interactive toggling between photorealistic and semantically labelled views enables both casual exploration and scholarly analysis. A user study (n = 10) employing a System Usability Scale-adapted questionnaire yielded mean satisfaction ratings exceeding 4.5/5 across all evaluation dimensions. The system demonstrates a scalable methodology for transforming inaccessible heritage layers into immersive, annotated digital environments.

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