DocumentCode
1798824
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
fYear
2014
fDate
7-9 July 2014
Firstpage
842
Lastpage
845
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-3902-2
Type
conf
DOI
10.1109/ICALIP.2014.7009913
Filename
7009913
Link To Document