Data processing technology of 3D points cloud

Author

Lihui Wang ; Hongyan Wang ; Ziqiang Wang

Author_Institution

Dept. of Inf. Eng., Acad. of Armored Force Eng., Beijing, China

fYear

2014

fDate

19-23 Oct. 2014

Firstpage

1291

Lastpage

1294

Abstract

This paper presents the methods for data processing technology of 3D points cloud with large unorganized and noisy point sets. Firstly, the noise points will be selected and deleted by the boundary points detection algorithm (BPDA). Secondly, we parameterize the interior points to the sphere model, the octahedron model and the geometry image model. Lastly, we give the error measure of the parameterization. The experiments show that the noisy point sets will be selected well and be deleted. The geometry deformation of our parameterization algorithm is less through the method of the error measure of geometry deformation.

Keywords

deformation; geometry; image denoising; image filtering; 3D points cloud; BPDA; boundary points detection algorithm; data processing technology; error measure; geometry deformation; geometry image model; noisy point sets; octahedron model; parameterization algorithm; sphere model; Computational modeling; Deformable models; Geometry; Measurement uncertainty; Noise; Solid modeling; Three-dimensional displays; 3D points cloud; de-noising; error measure; geometry deformation; parameterization;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing (ICSP), 2014 12th International Conference on

Conference_Location

Hangzhou

ISSN

2164-5221

Print_ISBN

978-1-4799-2188-1

Type

conf

DOI

10.1109/ICOSP.2014.7015208

Filename

7015208