基于移动最小二乘与控制曲线的3D 点云变形

doi:10.3969/j.issn.0255-8297.2014.05.005

Abstract

Abstract: This paper proposes a deformation method of 3D point cloud model implemented by controlling curve sets. Compared with deforming a model by controlling point sets, the proposed method makes deformed 3D point cloud model shard to be distorted, and appears more realistic. A moving least squares algorithm is used, in which curves are generated with cubic spline curve fitting. As MLS algorithm is applied to the curves to ensure rigid deformation of the 3D point cloud model. The use of control curves can achieve deformation in multiple areas accurately. Experimental results show that the method can realize smooth and realistic deformation of 3D point cloud models.

Key words: moving least squares, 3D point cloud, control curve, cubic spline, deformation

CLC Number:

TP391

WANG Rui1,2, XIAO Ren1,2, CHEN Jun-li1,2, YU Zong-xin1,2, WAN Wang-gen1,2. 3D Point Cloud Deformation with Moving Least Squares and Control Curves[J]. Journal of Applied Sciences, 2014, 32(5): 463-468.

References

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3D Point Cloud Deformation with Moving Least Squares and Control Curves

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