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From Photogrammetry to Virtual Reality: A Framework for Assessing Visual Fidelity in Structural Inspections
Xiangxiong Kong1, Terry F Pettijohn2, Hovhannes Torikyan3
1Department of Civil and Geomatics Engineering, California State University, Fresno, 2320 E. San Ramon Ave., M/S EE94, Fresno, CA 93740, USA.
Sensors (Basel, Switzerland)
|July 30, 2025
Summary
This study introduces a framework to assess virtual reality (VR) models for structural inspection. It validates VR
Area of Science:
- Civil Engineering
- Computer Science
- Virtual Reality
Background:
- Civil structures face deterioration from natural impacts, necessitating frequent inspections.
- Traditional in situ inspections are costly, risky, time-consuming, and error-prone.
- Virtual Reality (VR) offers a potential alternative for structural inspection platforms.
Purpose of the Study:
- To develop a comprehensive framework for assessing the visual fidelity of VR models for structural inspection.
- To address the critical question of whether VR models accurately reflect real-world structural conditions.
Main Methods:
- Integration of Unmanned Aerial Vehicle (UAV)-based photogrammetry, computer graphics, and web-based VR editing to create interactive VR user interfaces.
- Development of a quantitative visual fidelity assessment methodology.
- Evaluation through image alignment, histogram matching, and pixel-level deviation mapping between VR model renderings and UAV-captured images.
Main Results:
- A novel workflow for establishing interactive VR inspection interfaces was introduced.
- A robust methodology for quantitatively assessing VR model visual fidelity was proposed and validated.
- Case studies on a historic stone arch bridge and a campus steel building demonstrated the framework's effectiveness.
Conclusions:
- The study provides a validated framework for assessing the visual fidelity of VR models in structural inspection.
- This research lays a foundation for advancing VR-based structural inspection technologies.
- The findings support the use of VR as an accurate and reliable tool for evaluating structural integrity.

