Three-Dimensional Reconstruction and Deformation Identification of Slope Models Based on Structured Light Method

Chen, Zhijian; Zhang, Changxing; Tang, Zhiyi; Fang, Kun; Xu, Wei

doi:10.3390/s24030794

Open AccessCommunication

Three-Dimensional Reconstruction and Deformation Identification of Slope Models Based on Structured Light Method

by

Zhijian Chen

^1,2,

Changxing Zhang

^1,2,*

,

Zhiyi Tang

^1,2

,

Kun Fang

³

and

Wei Xu

^1,2,*

¹

Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China

²

Intelligent Infrastructure Operation and Maintenance Technology Innovation Team, Yunnan Provincial Department of Education, Kunming University of Science and Technology, Kunming 650500, China

³

Faculty of Engineering, China University of Geosciences, Wuhan 430074, China

^*

Authors to whom correspondence should be addressed.

Sensors 2024, 24(3), 794; https://doi.org/10.3390/s24030794

Submission received: 18 December 2023 / Revised: 15 January 2024 / Accepted: 22 January 2024 / Published: 25 January 2024

(This article belongs to the Special Issue Sensor-Based Structural Health Monitoring of Civil Infrastructure)

Download

Browse Figures

Review Reports Versions Notes

Abstract

In this study, we propose a meticulous method for the three-dimensional modeling of slope models using structured light, a swift and cost-effective technique. Our approach aims to enhance the understanding of slope behavior during landslides by capturing and analyzing surface deformations. The methodology involves the initial capture of images at various stages of landslides, followed by the application of the structured light method for precise three-dimensional reconstructions at each stage. The system’s low-cost nature and operational convenience make it accessible for widespread use. Subsequently, a comparative analysis is conducted to identify regions susceptible to severe landslide disasters, providing valuable insights for risk assessment. Our findings underscore the efficacy of this system in facilitating a qualitative analysis of landslide-prone areas, offering a swift and cost-efficient solution for the three-dimensional reconstruction of slope models.

Keywords: structured light; physical model test; morphing analysis

Share and Cite

MDPI and ACS Style

Chen, Z.; Zhang, C.; Tang, Z.; Fang, K.; Xu, W. Three-Dimensional Reconstruction and Deformation Identification of Slope Models Based on Structured Light Method. Sensors 2024, 24, 794. https://doi.org/10.3390/s24030794

AMA Style

Chen Z, Zhang C, Tang Z, Fang K, Xu W. Three-Dimensional Reconstruction and Deformation Identification of Slope Models Based on Structured Light Method. Sensors. 2024; 24(3):794. https://doi.org/10.3390/s24030794

Chicago/Turabian Style

Chen, Zhijian, Changxing Zhang, Zhiyi Tang, Kun Fang, and Wei Xu. 2024. "Three-Dimensional Reconstruction and Deformation Identification of Slope Models Based on Structured Light Method" Sensors 24, no. 3: 794. https://doi.org/10.3390/s24030794

APA Style

Chen, Z., Zhang, C., Tang, Z., Fang, K., & Xu, W. (2024). Three-Dimensional Reconstruction and Deformation Identification of Slope Models Based on Structured Light Method. Sensors, 24(3), 794. https://doi.org/10.3390/s24030794

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Menu

Three-Dimensional Reconstruction and Deformation Identification of Slope Models Based on Structured Light Method

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Further Information

Guidelines

MDPI Initiatives

Follow MDPI