Adaptive moving least squares for scattering points fitting

Authors:
Xianping Huang;Qing Tian;Jianfei Mao;Li Jiang;Ronghua Liang
Affiliations:
College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, P. R. China;College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, P. R. China;College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, P. R. China;College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, P. R. China;College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, P. R. China
Venue:
WSEAS Transactions on Computers
Year:
2010

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Abstract

Moving least squares (MLS) has wide applications in scattering points approximation fitting and interpolation, in this paper, we improve a novel MLS approach, adaptive MLS, for non-uniform sample points fitting. The size of radius for MLS can be adaptively adjusted according to the consistency of the sampled data points. Experiments demonstrate that our method can produce higher quality approximation fitting results than the MLS.