Point Cloud Registration Method Based on Face-Mating after Denosing

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Abstract:

A method is presented to accurate face-mating point cloud registration after dealing with noise point. Point cloud registration is divided into two parts,firstly,coarse registration is applied for visual point cloud,then three local sufaces of overlap cloud region are selected to be mating calculated after denosing base on least squares fitting , at last accurate splicing parameters of translation and rotation are acquired by nonlinear least square .This algorithm is easy to deal with the denosing, has faster convergence speed and higher registration accuracy.Its feasibility is proved by samples.

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131-135

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April 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] B.W. He, Zemin Lin, Y.F. Li. An automatic registration algorithm for the scattered point clouds based on the curvature feature, Optics & Laser Technology, 46, 53-60, (2013).

DOI: 10.1016/j.optlastec.2012.04.027

Google Scholar

[2] GROSS M, PFISTER H. Point-based graphics[M]. Berlin:Morgan Kaufmann Publishers, (2007).

Google Scholar

[3] Akca D. Registration of point clouds using range and intensity information[M]. Ascona, Switzerland, 2005: 115-126.

Google Scholar

[4] Tianfan Chen, Chenghui Gao, Bingwei He. Research on points cloud registration about sensor from different view points based on surface sit[J]. China Mechanical Engineering, 2012, 23(24): 2968-2971.

Google Scholar

[5] Dugan J B, Bavuso S J, Boyd M A. Dynamic fault tree models for fault tolerant computer systems[J]. IEEE Transactions on Reliability, 1992, 41(3): 363-377.

DOI: 10.1109/24.159800

Google Scholar

[6] Ji Z P, Liu L G, Wang G J. A global laplacian smoothing approach with feature preservation [C]/Ninth International Conference on Computer Aided Design and Computer Graphics (CAD/CG 2005), 2005: 269-274.

DOI: 10.1109/cad-cg.2005.4

Google Scholar

[7] Bajaj CL, Xu GL. Anisotropic diffusion of surfaces and functions on surfaces[J]. ACM Transactions on Graphics, 2003, 22(1): 4-32.

DOI: 10.1145/588272.588276

Google Scholar

[8] Meyer M , Desbrun M, Schroder P, et al. Discrete differential geometry operators for triangulated 2-manifolds [C]/Proceedings of Visualization and Mathematics, 2002: 35-57.

DOI: 10.1007/978-3-662-05105-4_2

Google Scholar

[9] Maleki A, Narayan M. Anisotropic nonlocal means denoising[D]. USA: Cornell University, 2011: 47.

Google Scholar