文章基本信息

标题：Robust registration of defect set by local consistency of point data
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作者：T. Urano ; S. Kaneko ; T. Tanaka 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2006
卷号：XXXVI Part 5
出版社：Copernicus Publications
摘要：A novel registration algorithm using Local consistency of point dispersion (LCPD) is proposed, which is based on a new type of measure of consistency between two sets of point data. It is expected to be effective and robust in registration of randomly distributed inconsistent observed data points, and has been recognized to bear wide range of convergence into true solutions through experiments with real world data
关键词：Registration; defect inspection; robustness; consistency