Data Reduction Based on Bi-Directional Point Cloud Slicing for Reverse Engineering

Abstract:

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In reverse engineering, complex free-form shaped parts are usually digitized quickly and accurately using the newly arisen non-contact measuring methods. However, they produce extremely dense point data at great rate. Not all the point data are necessary for generating a surface CAD model. Moreover, owing to inefficiencies in storing and manipulating them it takes a long time to generate a surface CAD model from the measured data. Therefore, an important task is to reduce the large amount of data. After analyzing the existing methods developed by other researchers, a new data reduction method, which based on bi-directional point cloud slicing, is presented in this paper. Using the proposed method, point cloud can be reduced while considering geometric features in both two parametric directions. Finally, a face model is used to verify the effectiveness of the proposed method and experimental results are given.

Info:

Periodical:

Edited by:

Yuri Chugui, Yongsheng Gao, Kuang-Chao Fan, Roald Taymanov and Ksenia Sapozhnikova

Pages:

492-496

DOI:

10.4028/www.scientific.net/KEM.437.492

Citation:

L. Chen et al., "Data Reduction Based on Bi-Directional Point Cloud Slicing for Reverse Engineering", Key Engineering Materials, Vol. 437, pp. 492-496, 2010

Online since:

May 2010

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Price:

$35.00

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