Structural Analysis of Glazed Tubular Tiles of Oriental Architectures Based on 3D Point Clouds for Cultural Heritage

Ting On Chan*, Yibo Ling, Yuli Wang, Kin Sum Li, Jing Shen

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


Laser scanning, along with its resultant 3D point clouds, constitutes a prevalent method for the documentation of cultural heritage. This paper introduces a novel workflow for the structural analysis of glazed tubular tiles that adorn the roofs of historical buildings in the Orient, utilizing 3D point clouds. The workflow integrates a robust segmentation algorithm utilizing the maximum principal curvature and normal vectors. Moreover, clustering algorithms, including DBSCAN, are incorporated to refine the clusters and thus increase segmentation accuracy. Structural analysis is enabled by cylindrical model fitting, which allows for the estimation of parameters and residuals. While the results exhibit commendable performance in individual tile segmentation, it is imperative to address the impact of substantial variations in scanning range and incident angles before engaging in the structural analysis fitting process. The results of experiment demonstrate that under conditions of significantly large scanning angles, the root mean square error (RMSE) for inadequately fitted tiles can extend to 0.066 m, surpassing twice the RMSE observed for well-fitted tiles. The proposed workflow proves to be applicable and exhibits significant potential to advance practices in cultural heritage documentation.

Scopus Subject Areas

  • Environmental Science (miscellaneous)
  • Instrumentation
  • Earth and Planetary Sciences (miscellaneous)

User-Defined Keywords

  • 3D point cloud
  • Glazed tubular tiles
  • Maximum principal curvature
  • Point cloud segmentation
  • Structural analysis


Dive into the research topics of 'Structural Analysis of Glazed Tubular Tiles of Oriental Architectures Based on 3D Point Clouds for Cultural Heritage'. Together they form a unique fingerprint.

Cite this