The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 751–756, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-751-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 751–756, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-751-2020

  12 Aug 2020

12 Aug 2020

CENTRAL AXIS ESTIMATION FOR ANCIENT CHINESE PAGODAS BASED ON GEOMETRIC MODELLING AND UAV-BASED PHOTOGRAMMETRY

T. O. Chan1,2, L. Xia1, J. Tang3, M. Liu3, W. Lang1,2, T. Chen1,2, and H. Xiao1 T. O. Chan et al.
  • 1Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
  • 2China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University, Guangzhou 510275, China
  • 3Guangzhou SenseWing Robot Technologies Co., Ltd., Guangzhou, China

Keywords: Cultural Heritage, Pagoda, Geometric Model, UAV, Symmetry

Abstract. Pagodas are common historical structures in China and some other Asian countries. Symmetries of the pagodas play an important role on cultural and structural aspects. In this paper, we proposed a method estimating the central axis of a typical ancient pagoda in China for examination of its symmetry. We developed a novel geometric model to fit to the point cloud of the pagoda obtained from photogrammetric reconstruction based on UAV imagery. More specifically, we developed a novel geometric model possessing 16 parameters to fit to the point cloud of different parts of the pagodas simultaneously to estimate a central axis for the symmetry. The results show that the proposed model is superior to the conventional cylindrical models for the central axis estimation. More importantly, the estimated parameters are in realistic ranges, as well as the reconstructed central axis and the sextant number are well visualized, so the symmetry of the pagodas can be readily analysed.