Virtual Scanning Method Based on BIM and Ray Tracing for Occlusion Evaluation and Geometry Extraction

This paper presents a virtual scanning method based on Building Information Model (BIM) which can simulate the real scan process and occlusion condition. The method converts the geometry of BIM into triangular mesh and point cloud. The multilevel data encoding is performed for the triangular mesh and point cloud and an octree is created based on point cloud to accelerate query speed. Two stage intersection tests (ray-octree leaf node and ray-triangle intersection tests) are organized to minimize computational cost. The scanning process of the scanner is parameterized and returns the nearest point with a component label along the emitted ray. The virtual scanning method is validated on a steel structure with over 800,000 triangular meshes.The calculations of over 100 million rays are completed within 10 minutes with serial computation. The visibility ratio of every component is obtained by compare the number of points between virtual scan component and complete component with the same point cloud spacing. Furthermore, the method is validated by comparing the consistency between the virtual scan cross-sections and real scan cross-sections. The real component axis extracted by the registration between virtual scan cross-sections and real scan cross-sections demonstrates better stability.

Authors

Publication Details

Journal
Kalpa publications in computing
Published
2025-08-28
DOI
https://doi.org/10.29007/r3bf
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virtual Scanning Method Based on BIM and Ray Tracing for Occlusion Evaluation and Geometry Extraction

Bin Jiang, Siwei Lin, Jincheng Zhao, Duan Liping
Kalpa publications in computing
3D Surveying and Cultural Heritage
article

Virtual Scanning Method Based on BIM and Ray Tracing for Occlusion Evaluation and Geometry Extraction

Bin Jiang, Siwei Lin, Jincheng Zhao, Duan Liping
article en

Abstract

This paper presents a virtual scanning method based on Building Information Model (BIM) which can simulate the real scan process and occlusion condition. The method converts the geometry of BIM into triangular mesh and point cloud. The multilevel data encoding is performed for the triangular mesh and point cloud and an octree is created based on point cloud to accelerate query speed. Two stage intersection tests (ray-octree leaf node and ray-triangle intersection tests) are organized to minimize computational cost. The scanning process of the scanner is parameterized and returns the nearest point with a component label along the emitted ray. The virtual scanning method is validated on a steel structure with over 800,000 triangular meshes.The calculations of over 100 million rays are completed within 10 minutes with serial computation. The visibility ratio of every component is obtained by compare the number of points between virtual scan component and complete component with the same point cloud spacing. Furthermore, the method is validated by comparing the consistency between the virtual scan cross-sections and real scan cross-sections. The real component axis extracted by the registration between virtual scan cross-sections and real scan cross-sections demonstrates better stability.

Kalpa publications in computingVol. 22
Science and Technology Commission of Shanghai Municipality
Openalex Percentile: Top 69%
3D Surveying and Cultural Heritage
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Virtual Scanning Method Based on BIM and Ray Tracing for Occlusion Evaluation and Geometry Extraction — Bin Jiang, Siwei Lin, et al. · Kalpa publications in computing (2025) | TGRS Research Map | TGRS