Consolidation of Low-quality Point Clouds from Outdoor Scenes
发布时间：2016-04-25
点击次数：
发表刊物：Computer Graphics Forum
摘要：The emergence of laser/LiDAR sensors, reliable multi-view stereo techniques and more recently consumer depth cameras have brought point clouds to the forefront as a data format useful for a number of applications. Unfortunately, the point data from those channels often incur imperfection, frequently contaminated with severe outliers and noise. This paper presents a robust consolidation algorithm for low-quality point data from outdoor scenes, which essentially consists of two steps: 1) outliers filtering and 2) noise smoothing. We first design a connectivity-based scheme to evaluate outliernes
合写作者：Jun Wang, Kai Xu, Junjie Cao, Shengjun Liu, Ligang Liu, Zeyun Yu, Xianfeng David Gu
论文类型：应用研究
文献类型：J
卷号：32
期号：5
页面范围：207–216
是否译文：否
发表时间：2013-08-01