Application of Wireframe Detection Technology in Construction Monitoring

DOI

10.2991/978-94-6463-726-7_35How to use a DOI?

Keywords

Wireframe Detection; Construction Monitoring; Computer Vision; Deep Learning; F-Clip++ Algorithm

Abstract

The increasing demand for automation technology in the construction industry has driven the research on computer vision applications for construction monitoring. Spurred by current trends, this paper introduces an automated comparison system for construction monitoring based on computer vision, focusing on integrating and applying wireframe detection. Specifically, by utilizing the F-Clip++ algorithm, the proposed system automatically extracts line segment features from architectural images, thereby significantly reducing human intervention and enhancing the real-time nature and efficiency of the monitoring process. Traditional construction monitoring methods rely on manual inspection and experiential judgment, which are time-consuming, labor-intensive, and subjective. Nevertheless, F-Clip++ affords efficient line segment detection and rapidly and accurately identifies the boundaries of architectural elements in complex construction environments. This technological advancement provides precise data support for subsequent comparative analysis, allowing the rapid identification and analysis of discrepancies between building information models (BIM) and actual installations. In practical applications, the system first preprocesses architectural images to enhance the accuracy of line segment extraction. Then, F-Clip++ effectively extracts complex lines and edges in the images extracted, forming a clear wireframe structure. Experiments demonstrate that F-Clip++ improves the real-time nature and efficiency of monitoring and lays the foundation for the intelligent development of the construction industry.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ding Zhou
AU  - Guohua Wei
AU  - Xiaojun Yuan
PY  - 2025
DA  - 2025/06/13
TI  - Application of Wireframe Detection Technology in Construction Monitoring
BT  - Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024)
PB  - Atlantis Press
SP  - 349
EP  - 365
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-726-7_35
DO  - 10.2991/978-94-6463-726-7_35
ID  - Zhou2025
ER  -