Laser & Optoelectronics Progress, Volume. 55, Issue 1, 11008(2018)

Point Cloud Denoising and Simplification Algorithm Based on Method Library

Li Renzhong*, Yang Man, Ran Yuan, Zhang Huanhuan, Jing Junfeng, and Li Pengfei
Author Affiliations
  • School of Electronics and Information, Xi''an Polytechnic University, Xi''an, Shaanxi, 710048, China
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    References(15)

    [3] Fleishman S, Drori I, Cohen-Or D. Bilateral mesh denoising[J]. ACM Transactions on Graphics, 22, 950-953(2003).

    [5] Yang Z X, Xiao D F. A systemic point-cloud de-noising and smoothing method for 3D shape reuse[C]. Proceedings of the 2012 12th International Conference on Control, Automation, Robotics and Vision, 1722-1727(2012).

    [9] Zhang X M, Yu X G, Wan W G et al. The simplification of 3D color point cloud based on voxel. [C]// Proceedings of IET International Conference on Smart and Sustainable City, 251-254(2013).

    [12] Bo F X. Research on 3D reconstruction system based on Kinect and PCL[D]. Shenyang: Northeastern University, 44-45(2013).

    [15] Gao X M. Research and implementation of triangular mesh processing algorithm for scattered point cloud model[D]. Nanjing: Nanjing Normal University, 32-57(2011).

    CLP Journals

    [1] Zhao Kai, Xu Youchun, Wang Rendong. A preprocessing method of 3D point clouds registration in urban environments[J]. Opto-Electronic Engineering, 2018, 45(12): 180266

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    Li Renzhong, Yang Man, Ran Yuan, Zhang Huanhuan, Jing Junfeng, Li Pengfei. Point Cloud Denoising and Simplification Algorithm Based on Method Library[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11008

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    Paper Information

    Category: Image Processing

    Received: Jul. 4, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Li Renzhong (lirenzhong@xpu.edu.cn)

    DOI:10.3788/LOP55.011008

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