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Detecting the 3D Damaged Area of Historic Pagodas Using Vanishing Point

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dc.contributor.author Aung, Thida
dc.contributor.author Sein, Myint Myint
dc.date.accessioned 2019-07-03T08:03:55Z
dc.date.available 2019-07-03T08:03:55Z
dc.date.issued 2018-02-22
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/315
dc.description.abstract Detecting the damaged area is the critical task for recovery and reconstruction work. Traditional damage detection or change detection method focus on two dimensional changes detection, whereas the two dimensional information delivered by the images is often not sufficient and accurate when dealing with building damage detection. In 24th August of 2016, the magnitude 6.8 earthquake struck at the historic city of Bagan, Myanmar. It caused huge damaged portion in historic pagodas in Bagan. The proposed method aims to detect the damaged area of the ancient pagodas after the earthquake. The point clouds output from the Pix4D software are used to input the system. The unnecessary point clouds are eliminated and calculate the damaged percentage of the specific pagodas. The post 3D images and their point cloud are used to estimate the damaging area. The purpose system detects the percentage of the damaged portion of the whole pagoda. en_US
dc.language.iso en en_US
dc.publisher Sixteenth International Conferences on Computer Applications(ICCA 2018) en_US
dc.subject unnamed aerial vehicle (UAV) en_US
dc.subject 3D image en_US
dc.subject 3D point clouds en_US
dc.subject damaged Area en_US
dc.title Detecting the 3D Damaged Area of Historic Pagodas Using Vanishing Point en_US
dc.type Article en_US


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