DocumentCode :
2142455
Title :
Algorithm of 3D reconstruction based on point cloud segmentation denoising
Author :
Shaowen, Xu ; Zhenyu, Yang ; Weiyong, Wu
Author_Institution :
School of Information Science and Technology, Jiujiang University, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
3510
Lastpage :
3513
Abstract :
The triangular mesh has am undesirable noise. By the point cloud segmentation approach we can denoise the data just only for the characteristic point, thereby reducing the number of point cloud processing and precision. This paper proposes an algorithm which can smooth nosing data quickly and use this method to reconstruction 3D model. Experimental result proves the validity of the algorithm.
Keywords :
Image reconstruction; Laplace equations; Noise; Noise reduction; Smoothing methods; Solid modeling; Surface reconstruction; denoising; point cloud; reconstruction; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5690969
Filename :
5690969
Link To Document :
بازگشت