Estimating Damaged Volume of Historic Pagodas in Bagan after Earthquake using 3D Hough Transform

Thida Aung, Myint Myint Sein


On 24th August 2016, the magnitude of a 6.8 earthquake struck in Bagan from the depth of 52 miles. This earthquake caused much damage in historic pagodas in Bagan, one of the archeological houses in Asia. Analyzing the affected areas is an essential task for the restoration and reconstruction of historic buildings after a disaster. Traditional methods of detecting damage to buildings focus on detecting 2D changes (i.e., only the appearance of the image), but the 2D information provided by the image is not sufficient when it involves detecting damage to buildings is often not precise. For finding out the solution, a method of 3D change detection is needed for estimating the volumes of damaged pagodas after the earthquake. The proposed system aims at producing a quick assessment of the damaged pagodas accurately and correctly. This system estimates the damaged volume of the pagoda based on the nature of the 3D point clouds. Post-earthquake photos are taken using an anonymous aircraft (UAV) and point cloud data is generated using VisualSFM software. The 3D Hough transform is used to find the intersection of the tower vertex and the 3D vertex at the line boundary. Besides, the proposed system can detect the reformed structure of the entire pagoda. The results show that the proposed approach facilitates the automated 3D detection of damaged pagodas and is a time-saving method for estimating the volume of damage caused to precious historic pagodas after a disaster.


2D/3D change detection; point clouds; Unnamed Aerial Vehicle (UAV); VisualSFM; 3D hough transform.

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H. Shusong, D. Aixia, W. Xiaoqing, and W. Jinxia, “Earthquake­Induced Building Damage Detection Method Based on Normal Computation Of Neighboring Points Searching On 2d­Plane”, IEEE International Geoscience & Remote Sensing Symposium, pp. 4251-4254, 2016.

Z. Yu, Z. Yikun, C. Hao, Y. Kaifeng and X. Hui, “A Method of 3D Point Cloud Volume Calculation Based on Slice Method”, International Conference on Intelligent Control and Computer Application (ICCA), China, 2016.

C. Wen-Chung, W. Chia-Hung, T. Ya-Hui and C. Wei-Yao, “Object Volume Estimation Based on 3D Point Clouds”, Industrial Technology Research Institute, Taiwan, R.O.C, 2017.

A. Victor, “Volume Estimation in Point Cloud Using Multi-Agent System”, 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2017

A. Thida and S. Myint Myint, “Analyzing Damage region of 3D Historic Pagodas Images after the Earthquake”, ICT Virtual Organization of ASEAN Institutes and NICT ASEAN IVO Forum, 2016.

A. Thida and S. Myint Myint, H. Hiromitsu “Reconstruction of the Ancient Pagodas”, IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), Nara, Japan, Oct 2018.

(2013) W. Chang chang, “VisualSFM”, [Online]. Available

Zuzan and R. Milan, “Object Volume Calculation from Large Noisy Point-Clouds”, Czech Technical University in Prague, May, 2018.

J. Manuel, D. Christoph and P. Regina,“Hough Parameter Space Regularisation for Line Detection in 3D”, International Conference on Computer Vision Theory and Applications (VISAPP), pp. 345-352, 2016.

D. Christoph, S. Tilman and J. Manuel, “Iterative Hough Transform for Line Detection in 3D Point Clouds”, Image Processing (2017) [Online], pp. 184 Available:

C. Marco, V. Roberto and C. Rita, “3D Hough transform for sphere recognition on point clouds”, Machine Vision and Applications, 25:1877–1891, 2014

L. Xiaohu, L. Yahui and L. Kai, “Fast 3D Line Segment Detection from Unorganized”, Computer Vision and Pattern Recognition, ,2019

Z. Xin, M. John and K. Reinhard, “Volume Measurement Using a Laser Scanner”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL-5, 2014.

J. Ales, E. Miran, M. Igor, S. Ziga and S. Franc, “Volumetric models from 3D point clouds: The case study of sarcophagi cargo from a 2nd/3rd century AD Roman shipwreck near Sutivan on island Brac, Croatia”, Journal of Archaeological Science, pp 143-152, 2015.

W. Jinhu, G. Higinio, L. Roderik, A. Pedro and M. Massimo, “Automatic Estimation of Excavation Volume from Laser Mobile Mapping Data for Mountain Road Widening”, Remote Sens., 4629-4651, 2013.

A. Bienert , C. Hess, H.-G. Maas and G. von Oheimb, “A Voxel-Based Technique To Estimate The Volume Of Trees From Terrestrial Laser Scanner Data”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL-5, ISPRS Technical Commission V Symposium, Riva del Garda, Italy, 2014.

Z. Qijie, W. Yijing, L. Xianfa, X. Jiao and M. Qingxu, “A method of measuring stacked objects volume based on laser sensing”, Measurement Science and Technology, Meas. Sci. Technol. 28 105002, 2017.

B. Dorit, E. Jan, L. Kai and N. Andreas, “The 3D Hough Transform for Plane Detection in Point Clouds: A Review and a new Accumulator Design”, 3D Research Center, Kwangwoon University and Springer 2011.



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