Unstructured Point Cloud Surface Denoising and Decimation Using Distance RBF K-Nearest Neighbor Kernel

	Unstructured Point Cloud Surface Denoising and Decimation Using Distance RBF K-Nearest Neighbor Kernel
	Rixio Morales; Yunhong Wang; Zhaoxiang Zhang
	2010-09-21
会议日期	21-24 September 2010
会议地点	Shanghai, China
关键词	Unstructured Point Cloud Smoothing Decimation Rbf Multicore
英文摘要	In this work unstructured point clouds, resulting from 3D range acquisition are point wise-processed, using a proposed kd-tree nearest neighbor method, based in a generative data driven, local radial basis function’s (RBF) support:φ(S, pi(xi, yi, zi)), for the point set S : {pi}iI , using surface statistic and a Gaussian convolution kernel, point sets are smoothed according to local surface features. As a minor contribution we also present a point cloud semi-rigid grid decimation method, based on a similar framework, using multi-core hardware, experiment results achieve comparable quality results with existing and more complex methods; time performance and results are presented for comparison.
会议录	PCM 2010
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/13299]
专题	自动化研究所_类脑智能研究中心
通讯作者	Zhaoxiang Zhang
推荐引用方式 GB/T 7714	Rixio Morales,Yunhong Wang,Zhaoxiang Zhang. Unstructured Point Cloud Surface Denoising and Decimation Using Distance RBF K-Nearest Neighbor Kernel[C]. 见:. Shanghai, China. 21-24 September 2010.