Robust normal estimation in unstructured 3D point clouds by selective normal space exploration

We present a fast and practical approach for estimating robust normal vectors in unorganized point clouds. Our proposed technique is robust to noise and outliers and can preserve sharp features in the input model while being significantly faster than the current state-of-the-art alternatives. The ke...

Full description

Bibliographic Details

Published in:	The Visual computer Vol. 34; no. 6-8; pp. 961 - 971
Main Authors:	Mura, Claudio, Wyss, Gregory, Pajarola, Renato
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2018 Springer Nature B.V
Subjects:	Artificial Intelligence Computer Graphics Computer Science Estimation Image Processing and Computer Vision Methods Neighborhoods Original Article Outliers (statistics) Robustness Space exploration Three dimensional models Robust statistics Normal estimation Point cloud processing
ISSN:	0178-2789, 1432-2315
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!