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F. I. Thufail

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Open access Aug 2026

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

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.

Satoshi Takatori, Jiajun Gao, Liang Li et al. · 0 citations
Open access Aug 2026

Adaptive PCA-Scale Optimization for Edge Extraction from 3D Scanned Cultural Heritage Point Clouds

An adaptive neighborhood scale selection method for local PCA, designed for robust edge extraction from large-scale 3D scanned point clouds, and the use of octree-based spatial indexing ensures computational efficiency, making the method practical for field-based heritage conservation and structural analysis on consumer-grade hardware.

Tomoya Okajima, Satoshi Takatori, F. I. Thufail et al. · 0 citations