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A Survey on Processing of Large-Scale 3D Point Cloud

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E-Learning and Games (Edutainment 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9654))

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Abstract

This paper provides a comprehensive overview of the state-of-the-art for processing large-scale 3D point cloud based on optical acquisition. We first summarize the general pipeline of point cloud processing, ranging from filtering to the final reconstruction, and give further detailed introduction. On this basis we give a general insight over the previous and latest methods applying LIDAR and remote sensing techniques as well as Kinect on analysis techniques, including urban environment and cluttered indoor scene. We also focus on the various approaches of 3D laser scenes scanning. The goal of the paper is to provide a comprehensive understanding on the point cloud reconstruction methods based on 3D laser scanning techniques, and make forecasts for future research issues.

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Acknowledgments

This work is supported in part by the National High-Tech Research and Development Program of China (863 Program) with No. 2015AA016402, and in part by National Natural Science Foundation of China with Nos. 61571439, 61561003,61372190, and 61271431.

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Authors and Affiliations

  1. NLPR-LIAMA, Institute of Automation, CAS, Beijing, China

    Xinying Liu, Weiliang Meng, Jianwei Guo & Xiaopeng Zhang

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  1. Xinying Liu
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  2. Weiliang Meng
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  3. Jianwei Guo
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  4. Xiaopeng Zhang
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Corresponding authors

Correspondence to Weiliang Meng or Xiaopeng Zhang .

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Editors and Affiliations

  1. Computer Science, John Moores University, Liverpool, United Kingdom

    Abdennour El Rhalibi

  2. Science and Technology, Bournemouth University, Bournemouth, United Kingdom

    Feng Tian

  3. Hangzhou Normal University, Hangzhou, Zhejiang, China

    Zhigeng Pan

  4. Computer Science and Technology, University of Bedfordshire, Luton, United Kingdom

    Baoquan Liu

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Liu, X., Meng, W., Guo, J., Zhang, X. (2016). A Survey on Processing of Large-Scale 3D Point Cloud. In: El Rhalibi, A., Tian, F., Pan, Z., Liu, B. (eds) E-Learning and Games. Edutainment 2016. Lecture Notes in Computer Science(), vol 9654. Springer, Cham. https://doi.org/10.1007/978-3-319-40259-8_24

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  • DOI: https://doi.org/10.1007/978-3-319-40259-8_24

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