Unstructured Point Cloud Surface Denoising and Decimation Using Distance RBF K-Nearest Neighbor Kernel | |
Rixio Morales; Yunhong Wang; Zhaoxiang Zhang | |
2010-09-21 | |
会议名称 | Pacific-Rim Conference on Multimedia |
会议录名称 | PCM 2010 |
会议日期 | 21-24 September 2010 |
会议地点 | Shanghai, China |
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. |
关键词 | Unstructured Point Cloud Smoothing Decimation Rbf Multicore |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/13299 |
专题 | 智能感知与计算研究中心 |
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],2010. |
条目包含的文件 | 条目无相关文件。 |
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