Filtering of Scattered 3D Data Points in Reverse Engineering

Author

Xu, Hui-Pu ; Yao, Xiao-Feng ; Tian, Yuan

Author_Institution

Sch. of Autom., Dalian Maritime Univ.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

1471

Lastpage

1476

Abstract

In this paper, we describe a new filtering algorithm about scattered, unorganized and unordered 3D data points in reverse engineering. This algorithm is suitable for processing data collected by machine vision systems, co-ordinate measuring machines or laser-based range sensors. The filtering is accomplished in two steps. Firstly, the process of looking for the noise data from raw data set is finished by means of calculating the frequency of every sub-box within which data fall and choosing appropriate threshold to find noise data. Secondly, the real information in the location of noise can be recovered according to information of its adjacent data. From the results of some examples, the validity of this algorithm is verified

Keywords

CAD; information filtering; reverse engineering; coordinate measuring machine; filtering algorithm; laser-based range sensor; machine vision system; model reconstruction; reverse engineering; scattered 3D data point; Clouds; Computer aided manufacturing; Cybernetics; Data engineering; Design automation; Filtering; Image reconstruction; Laser modes; Machine learning; Product development; Reverse engineering; Scattering; Solid modeling; Filtering; model reconstruction; reverse engineering; scattered 3D data points;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258761

Filename

4028296