Laser & Optoelectronics Progress, Volume. 54, Issue 12, 121503(2017)

Point Cloud Segmentation of Scattered Workpieces Based on Improved Euclidean Clustering

Tian Qinghua1、*, Bai Ruilin1, and Li Du2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(14)

    [1] [1] Bogue Consultant R. Random bin picking: has its time finally come[J]. Assembly Automation, 2014, 34(3): 217-221.

    [2] [2] Nguyen A, Le B. 3D point cloud segmentation:a survey[C]. IEEE Conference on Robotics, Automation and Mechatronics, 2013: 225-230.

    [3] [3] Zhu Dehai. Learning tutorials of point cloud library PCL[M]. Beijing: Beihang University Press, 2012: 338-350.

    [4] [4] Bao T, Zhao J L, Xu M. Step edge detection method for 3D point clouds based on 2D range images[J]. Optik-International Journal for Light and Electron Optics, 2015, 126(20): 2706-2710.

    [5] [5] Vo A V, Truong-Hong L, Laefer D F, et al. Octree-based region growing for point cloud segmentation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 104: 88-100.

    [6] [6] Wang Guo, Sha Congshu,Wang Jian. Study on segmentation of building facade considering local point cloud density[J]. Laser & Optoelectronics Progress, 2015, 52(6): 061001.

    [7] [7] Lu Weixin, Wan Youchuan, He Peipei, et al. Extracting and plane segmenting buildings from large scene point cloud[J]. Chinese J Lasers, 2015(9): 0914004.

    [8] [8] Squizzato S. Robot bin picking: 3D pose retrieval based on point cloud library[D]. Padua: University of Padova, 2012.

    [9] [9] Sansoni G, Bellandi P, Leoni F, et al. Optoranger: a 3D pattern matching method for bin picking applications[J]. Optics and Lasers in Engineering, 2014, 54: 222-231.

    [10] [10] Zuo Liying. Research on automatic identification and location of scattered parts for robot picking[D]. Harbin: Harbin Institute of Technology, 2015.

    [11] [11] Fan Li, Liu Jinhao, Huang Qingqing. Point cloud segmentation algorithm based on feature fusion used for understory environments[J]. Journal of Beijing Forestry University, 2016, 38(5): 133-138.

    [12] [12] Shen J, Liu J, Zhao R, et al. A kd-tree-based outlier detection method for airborne LiDAR point clouds[C]. 2011 IEEE International Symposium on Image and Data Fusion, 2011: 1-4.

    [13] [13] Nurunnabi A, West G, Belton D. Outlier detection and robust normal-curvature estimation in mobile laser scanning 3D point cloud data[J]. Pattern Recognition, 2015, 48(4): 1404-1419.

    CLP Journals

    [1] Peng Xishun, Lu Anjiang, Huang Jiwei, Chen Boyun, Ding Jie. Mesh RANSAC Segmentation and Counting of 3D Laser Point Cloud[J]. APPLIED LASER, 2022, 42(2): 54

    Tools

    Get Citation

    Copy Citation Text

    Tian Qinghua, Bai Ruilin, Li Du. Point Cloud Segmentation of Scattered Workpieces Based on Improved Euclidean Clustering[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121503

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Jun. 26, 2017

    Accepted: --

    Published Online: Dec. 11, 2017

    The Author Email: Tian Qinghua (6151905014@vip.jiangnan.edu.cn)

    DOI:10.3788/lop54.121503

    Topics