Surface Reconstruction Based on Adaptive Cell Decomposition of Point Cloud Data

摘要：

Radial basis function for point cloud data interPolation and fitting has the advantages of accuracy and stability, but it is not suitable for surface reconstruction of large-scale point set. In this phper, adaptive cell decomposition combined with radial basis function was used for Implicit Surface fast reconstruction of large point cloud data. First of all, the point cloud data was broken down adaptively into a series of slightly overlapping sub-domains, then use the radial basis function for calculating the local surface of each sub-domain. Finally, we obtain the global reconstructed surface by weighted mixed the local surface in use of cell decomposition function. The results show the method is suitable to handle the point cloud data reconstruction which the point is larger and distribution of density is greater, having fast speed and high precision.

关键词： Point Cloud Data Adaptive Cell Decomposition Radial Basis Function (RBF) Surface Reconstruction

作者: Jianying Fan Xiaoyang Yu Yang Wang Haiming Xia Lijun Lin

作者单位: College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China The h The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Hei

会议类型: 国际会议

会议名称: The 4th International Symposium on Computational Intelligence and Industrial Application(第四届国际计算智能和工业应用研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 379-383

在线出版日期: 2010-08-01（万方平台首次上网日期，不代表论文的发表时间）