fast and robust edge extraction in unorganized point clouds
Fast and Robust Edge Extraction in Unorganized Point Clouds As a pre-computation, the approaches of computing elementary information including normals and connectivity are introduced. extraction Robust The segmentation of MLS point clouds is required for the extraction of road information. Robust • A planarity test based on robust statistics which is robust to noise. Recent advances in 3D acquisition technologies have lead to scanning devices capable of capturing point-based representations of complex objects and environments in a matter of minutes. The resulting models typically consist of many thousands or even millions of individual 3D points and are commonly known as point clouds. Fast and Robust Edge Extraction in Unorganized Point Clouds @article{Bazazian2015FastAR, title={Fast and Robust Edge … Abstract Ridge-valley features are important elements of a model. 1440 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH … 2010]. Fast and Robust Edge Extraction in Unorganized Point Clouds (Dena Bazazian, Josep R Casas, Javier Ruiz-Hidalgo) - DICTA2015 .