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Vol. 173, Issue 6, June 2014, pp. 197-203




A Surface Reconstruction Algorithm Based on 3D Point Cloud Stratified Sliced

1 Weifeng XIAO, 1 Min DENG, 2 Chaokui LI,

1 School of Geosciences and Info-Physics, Central South University, 932 South LushanNan Road, Changsha 410083, China
2 Department of Surveying-Engineering, Hunan University of Science and Technology, Taoyuan, Xiangtan, 411201, China
1 Tel.: +8613786226874, fax: 13786226874

E-mail: 472364382@qq.com


Received: 15 May 2014 /Accepted: 16 June 2014 /Published: 30 June 2014

Digital Sensors and Sensor Sysstems


Abstract: This paper presents a novel surface reconstruction algorithm based on 3D point cloud sliced by a series of planes vertical to Z-axis. First, the density and distribution of point cloud is analyzed in vertical direction Z-axis and a stratified point cloud model is put forward to present an object feature, in which point cloud is sliced with irregular intervals. An approach of stratified point cloud projected on plane is proposed. The algorithm based on Delaunay triangulation technique in two dimensions gain quickly the local topological connection relationships between points. Further, the planar triangular mesh is mapped into 3D-TIN. Finally, the object surface model is composed of the stratified 3D-TINs with consistent edges. Two tests are implemented to demonstrate that the algorithm is very simple, robust and suitable to reconstruct the object surface based on complex shaped and irregular 3D point cloud.


Keywords: Plane slicing, Point cloud, Stratified point cloud model, 3D-TIN, Surface reconstruction.


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