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《Chinese Journal of Computers》 2011-03
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Sampling and Orienting of Scattered Points Based on Adaptive Spherical Covering

LIU Sheng-Jun HAN Xu-Li(School of Mathematical Science and Computing Technology,Central South University,Changsha 410083)  
The surface reconstruction from scattered points is still a difficult process,especially for the points with noise,outliers,non-uniformities,and thin-sharp features.Oriented normals at the points play a critical role in surface reconstruction.This paper presents a method to provide orientation consistent normals on points with the above defects as a preprocessing for surface reconstruction.Firstly,this method generates a particle set by an adaptive spherical cover.The particles are distributed on the reconstructed surface according to the surface shape for preserving important geometric features.Secondly,a priority-driven normal propagation procedure is performed on an uneven distributed data to assign consistent oriented normal vectors to the particles.During this procedure,the neighborhoods of the particles are constructed depending on the intersection relationships between spheres.The results in this paper demonstrate that the method is robust and efficient.
【Fund】: 国家自然科学基金(61003125 60970097 10871208);; 浙江大学CAD&CG国家重点实验室开放课题基金(A0805)资助
【CateGory Index】: TP391.72
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