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Interective Point Clouds Fairing on Many-Core System

Tang Jie, Wu Gangshan, Xu Bo, Gong Zhongliang
Dept. of Comput. Sci. & Technol., Nanjing Univ., Nanjing, China
International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2010

@inproceedings{jie2010interective,

   title={Interective Point Clouds Fairing on Many-Core System},

   author={Jie, T. and Gangshan, W. and Bo, X. and Zhongliang, G.},

   booktitle={Parallel and Distributed Processing with Applications (ISPA), 2010 International Symposium on},

   pages={557–562},

   year={2010},

   organization={IEEE}

}

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This Paper proposes an interactive point clouds fairing algorithm running on many-core system. The algorithm is composed of four steps. Firstly, a k nearest neighbor searching method was designed which could fully utilize the computing ability of GPU. Secondly, a parallel Gaussian weighted normal estimation was put forward. Thirdly, a weighted fairing method was proposed to get better result especially for the unevenly distributed point clouds. The whole algorithm was implemented on NVIDIA GPU using CUDA. Experimental results show that the algorithm could achieve interactive fairing of large size point clouds with good quality.
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