DocumentCode
2366688
Title
Ancient Architecture Point Cloud Data Triangulation Algorithm Integrated with Cylindrical Projection and Tangent Plane Projection
Author
Zhao, Jianghong ; Wang, Yanmin ; Yin, Ganhua
Author_Institution
State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
fYear
2009
fDate
25-27 Aug. 2009
Firstpage
1108
Lastpage
1113
Abstract
With the development of Terrestrial 3D Laser-scanning technology, as the one of main methods of earth observing architecture, Terrestrial 3D Laser-scanning technology is increasingly widely applied in the field of ancient architecture protection. Triangulating a set of scattered 3D points is a common approach but a difficult problem to surface reconstruction from unorganized point clouds. Large wood structures are common structure in ancient architecture. Because the amount of point cloud data of it is very large, universal triangulation algorithms don´t adapt for. On the basis of full analysis of the characteristics of the ancient buildings´ large wood structure, the algorithm was proposed in this article, which integrated with the cylindrical projection and tangent plane projection triangulation. Experiments show that the method is more efficient and effective support for the regular shape large wood structures.
Keywords
architecture; computational geometry; computer graphics; history; ancient architecture point cloud data triangulation; ancient architecture protection; cylindrical projection; surface reconstruction; tangent plane projection triangulation; terrestrial 3D laser scanning technology; triangulation algorithm; unorganized point cloud; Algorithm design and analysis; Architecture; Buildings; Civil engineering; Clouds; Earth; Electronic mail; Protection; Scattering; Surface reconstruction; 3D reconstruction; Cylindrical projection; Triangulation;
fLanguage
English
Publisher
ieee
Conference_Titel
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-5209-5
Electronic_ISBN
978-0-7695-3769-6
Type
conf
DOI
10.1109/NCM.2009.48
Filename
5331769
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