Proceedings of the 2nd International Conference on Modelling, Identification and Control

Research on Feature Extraction Curves and Surfaces in Reverse Engineering

Authors
Ao Linzhe, Wang Shigang, Jiang Shufeng, Jiang Shengyuan
Corresponding Author
Ao Linzhe
Available Online August 2015.
DOI
10.2991/mic-15.2015.23How to use a DOI?
Keywords
reverse engineering; surface reconstruction; data processing; point cloud data; feature extraction
Abstract

Based on the measurement data reconstruction in reverse engineering has been widely used, the results contain a lot of noise data points are ubiquitous feature extraction as a key step in surface reconstruction more significance and difficulty. This paper describes the emergence and significance of reverse engineering, and illustrates the treatment stage surface reconstruction of key data processing steps and point cloud data. The importance of the feature extraction feature extraction method based on a detailed description and improvements.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Modelling, Identification and Control
Series
Advances in Intelligent Systems Research
Publication Date
August 2015
ISBN
10.2991/mic-15.2015.23
ISSN
1951-6851
DOI
10.2991/mic-15.2015.23How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ao Linzhe
AU  - Wang Shigang
AU  - Jiang Shufeng
AU  - Jiang Shengyuan
PY  - 2015/08
DA  - 2015/08
TI  - Research on Feature Extraction Curves and Surfaces in Reverse Engineering
BT  - Proceedings of the 2nd International Conference on Modelling, Identification and Control
PB  - Atlantis Press
SP  - 104
EP  - 108
SN  - 1951-6851
UR  - https://doi.org/10.2991/mic-15.2015.23
DO  - 10.2991/mic-15.2015.23
ID  - Linzhe2015/08
ER  -