DocumentCode :
3418277
Title :
A novel 3D surface modeling based on Spatial Neighbor Points Coupling in reverse engineering
Author :
Xu, Huipu ; Hu, Ying ; Chen, Yuqing ; Ma, Zi ; Wu, Defeng
Author_Institution :
Autom. Res. Center, Dalian Maritime Univ., Dalian, China
Volume :
5
fYear :
2010
fDate :
25-27 June 2010
Abstract :
A novel 3D surface modeling method - 3D Surface Modeling based on Spatial Neighbor Points Coupling (SMSNPC) for scattered data points is addressed in this article. The main contribution contains two aspects: First, the 3D model of complex surface can be reconstructed through SMSNPC. Then, model parameters are recognized with Artificial Neural Network (ANN). To demonstrate the efficient applicability of the new algorithm, two groups of point data are presented. One collected by handheld laser scanner is used to validate the reconstruction result, and the other is used to be compared with non-coupling modeling. From the results, the new approach validates the expectation that SMSNPC can match the real complex surface satisfactorily which can´t be finished by non-coupling modeling. By comparing the same sample data with non-coupling modeling, it is shown the reconstruction precision of SMSNPC is much higher.
Keywords :
computational geometry; neural nets; optical scanners; reverse engineering; solid modelling; 3D surface modeling method; ANN; artificial neural network; handheld laser scanner; reverse engineering; spatial neighbor points coupling; Artificial neural networks; Clouds; Design automation; Equations; Laser modes; Reverse engineering; Stochastic resonance; Stochastic systems; Surface emitting lasers; Surface reconstruction; coupling; reverse engineering; scattered points; surface modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
Type :
conf
DOI :
10.1109/ICCDA.2010.5540854
Filename :
5540854
Link To Document :
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