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	A Variable Scale Approach for Neighbor Search in Point Cloud Data
	Min, Lingwei; Song, Zhangjun; Yang, Xiaoping; Zhang, Jianwei
	2014
会议名称	Processing of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
会议地点	中国
英文摘要	An algorithm for selecting nearest neighbors at a variable scale rather than a fixed search radius in point cloud neighbor search is proposed in this paper. We employ the concepts in differential geometry and divide the point cloud into different clusters according to their surface types. Not only the distance metric but also the clusters' surface type is taken into condition when we search the neighbors of a certain point. This results in a variable scale in nearest neighbor search which can preserve good enough details even using a big scale as well as reduce side effects of noise data caused by using a small scale. The proposed algorithm is tested with the data of Stanford Bunny by simulation. Its effectiveness is confirmed by the experiments.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5599]
专题	深圳先进技术研究院_集成所
作者单位	2014
推荐引用方式 GB/T 7714	Min, Lingwei,Song, Zhangjun,Yang, Xiaoping,et al. A Variable Scale Approach for Neighbor Search in Point Cloud Data[C]. 见:Processing of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014. 中国.

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