Iterative consolidation of unorganized point clouds
发布时间：2016-04-25
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发表刊物：IEEE Computer Graphics and Applications
关键字：upsampling, computer vision, computer science
摘要：Unorganized point clouds obtained from 3D shape acquisition devices usually present noise, outliers, and nonuniformities. The proposed framework consolidates unorganized points through an iterative procedure of interlaced downsampling and upsampling. Selection operations remove outliers while preserving geometric details. The framework improves the uniformity of points by moving the downsampled particles and refining point samples. Surface extrapolation fills missed regions. Moreover, an adaptive sampling strategy speeds up the iterations. Experimental results demonstrate the framework's effec
合写作者：Shengjun Liu, Kwan-Chung Chan, Charlie C.L.Wang
论文类型：基础研究
文献类型：J
卷号：32
期号：3
页面范围：70-83
是否译文：否
发表时间：2013-01-01
发布期刊链接：http://cn.bing.com/academic/profile?id=2053191221&v=paper_preview&mkt=zh-cn
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