Title :
A novel suface reconstruction method for noisy point cloud
Author_Institution :
Sch. of Art & Design, NanChang HangKong Univ. of Technol., Nanchang, China
Abstract :
Point-sampled models generated by 3D-scanning devices are invariably noisy. It is necessary to remove the inevitable noise before realizing surface reconstruction while preserving the underlying surface features in computer graphics. But the point cloud will be incomplete after denoising. In this paper, a novel and surface reconstruction method for noisy point cloud is proposed. First, the noises of the point cloud are deleted by robust ellipsoid criterion, then a surface reconstruction method based on neural network is used to reconstruct surface.
Keywords :
computer graphics; image reconstruction; radial basis function networks; 3D-scanning devices; computer graphics; image denoising; neural network; noisy point cloud; point-sampled models; radial basis function neural network; robust ellipsoid criterion; surface reconstruction method; Artificial neural networks; Computers; Laser modes; Laser noise; Surface reconstruction; ellipsoid criterion; nerual network; point cloud; surface reconstruction;
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/IWECA.2014.6845779
