Title :
Research on 3D scanning point cloud de-nosing
Author :
Xuandong An ; Xiaoqing Yu ; Qingtong Xu ; Jing Wang
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
For 3D point cloud data scanned by a laser scanner, noise has become an obstacle for point cloud reconstruction. Though there are many papers about 3D cloud de-nosing, few are based on the 3D scanner. Now we propose some methods for point noise processing base on 3D scanning data. In this paper we frequently use the way to process the point cloud generated by the scanning machine. We will deal with the point cloud with clustering and sampling steps and finally achieve a satisfying de-noising result.
Keywords :
optical scanners; pattern clustering; sampling methods; 3D cloud denosing; 3D point cloud scanning; 3D scanning data; clustering steps; laser scanner; point noise processing; sampling steps; scanning machine; Noise; Noise reduction; Solid modeling; Surface reconstruction; Surface treatment; Three-dimensional displays; Topology; 3D point cloud; de-nosing; laser scanner; model reconstruction;
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3902-2
DOI :
10.1109/ICALIP.2014.7009913
