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| Extraction of Feature Point From Scattered Points in Complex Curved Part |
| GAO Rui1, LI Shuanggao1, HUANG Xiang1, LI Dong2 |
( 1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics,
Nanjing 210016, China;
2. AVIC Jiangxi Hongdu Aviation Industry Group Corporation LTD, Nanchang 330024, China ) |
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Abstract Geometrical feature extraction of complex curved parts is of great significance to the detection of machining
quality and the reverse reconstruction of CAD model. A method for extracting feature points from scattered points
of complex surface parts is proposed in this paper. Firstly, a method of neighborhood principal component analysis based
on Gauss weight is proposed, estimating the degree of local change of each point neighborhood to initialize labels. Subsequently,
feature points are extracted by automatic recognition based on labels. Finally, the anomaly points of the feature
points are removed by the method of feature points clustering. The algorithm directly operates on scattered point clouds,
without any topological connection information. The experimental results show that the algorithm is simple and effective,
without too much manual adjustment parameters, and the extracted feature points are complete.
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| [1] |
. [J]. Aeronautical Manufacturing Technology, 2016, 59(3): 66-70. |
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2017, 
