Abstract
<title>Abstract</title> <p>This paper presents MESH for Incremental Digital-physical system (MESH4ID), a headset-centred virtual reality pipeline for indoor acquisition, curation, and reconstruction implemented entirely in Unity/OpenXR. The system combines a head-mounted Intel RealSense L515 solid-state LiDAR with a Meta Quest 3 headset to enable live point-cloud preview, persistent snapshot logging, interactive dataset management, and on-demand surface reconstruction within a single immersive environment. Rather than continuously integrating all incoming data into a global model, the proposed workflow is based on user-triggered snapshot acquisition. Each capture is frozen from the live stream, enriched with baked colour information, and stored as a traceable CSV/PLY pair with progressive naming, allowing reproducible and auditable processing. Selected point clouds can then be inspected, merged, and geometrically cleaned in VR before being integrated into a truncated signed distance function (TSDF) volume. An explicit surface mesh is subsequently extracted via Marching Cubes for in-headset inspection. Experimental results show that the workflow is practically feasible in a PC-tethered setting: snapshot persistence and reconstruction remain within a few seconds, while multi-snapshot merging emerges as the principal computational bottleneck. Overall, the system demonstrates the viability of an interaction-driven and traceable XR reconstruction workflow for indoor spatial capture.</p>