An Image-Based Circle Extraction Method of Three-Dimensional Point Cloud Data

被引:2
|
作者
Liu, Tao [1 ]
Zhao, Weiling [1 ]
Wang, Zongyi [1 ]
Jia, Shaojing [1 ]
机构
[1] Harbin Engn Univ, Coll Automat, Harbin 150001, HeiLongJiang, Peoples R China
关键词
D O I
10.1109/IITA.2008.255
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The fast feature extraction of point cloud data becomes one core of the reverse-engineering CAD modeling researches that are based on point cloud In the two-dimensional or three-dimensional product contour, the circle is a very common shape. This paper proposed a new circle extraction method of three-dimensional point cloud data, which is based on the image. This method takes full advantage of the point cloud features and the image, as well as the ellipse detection algorithm of image, for extracting the circle from the three-dimensional point cloud. From the experiment results, we can observe that this method is simple, time-saving and easy to realize.
引用
收藏
页码:447 / 451
页数:5
相关论文
共 50 条
  • [21] Morphological parameters extraction of banana sucker in the field based on three-dimensional point cloud
    Peng C.
    Miao Y.
    Wang L.
    Li H.
    Li X.
    Zhang M.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2022, 38 : 193 - 200
  • [22] Accurate facade feature extraction method for buildings from three-dimensional point cloud data considering structural information
    Wang, Yongzhi
    Ma, Yuqing
    Zhu, A-xing
    Zhao, Hui
    Liao, Lixia
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 139 : 146 - 153
  • [23] Identification and localization method of the insulator based on three-dimensional point cloud modeling
    Sun, Yipu
    Chen, Xin
    Jian, Xu
    Xiao, Zhe
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 7051 - 7056
  • [24] Range image-based density-based spatial clustering of application with noise clustering method of three-dimensional point clouds
    Wen, Mingyun
    Cho, Seoungjae
    Chae, Jeongsook
    Sung, Yunsick
    Cho, Kyungeun
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 15 (02):
  • [25] ROBUST CYLINDER FITTING IN THREE-DIMENSIONAL POINT CLOUD DATA
    Nurunnabi, Abdul
    Sadahiro, Yukio
    Lindenbergh, Roderik
    ISPRS HANNOVER WORKSHOP: HRIGI 17 - CMRT 17 - ISA 17 - EUROCOW 17, 2017, 42-1 (W1): : 63 - 70
  • [26] Improved Three-Dimensional Reconstruction Algorithm for Point Cloud Data
    Pang Zhengya
    Zhou Zhifeng
    Wang Liduan
    Ye Juelei
    LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (02)
  • [27] THE FILTERING AND STREAMLINE OF THREE-DIMENSIONAL POINT-ClOUD-DATA
    Zhang, ZhengChang
    SENSORS, MECHATRONICS AND AUTOMATION, 2014, 511-512 : 554 - 558
  • [28] Compression method for three-dimensional point cloud deep model
    Zhao Z.
    Xu K.
    Ma Y.
    Wan J.
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2023, 45 (05): : 193 - 201
  • [29] Image-based Simulation of the Three-dimensional Coronary Blood Flow
    Quatember, B.
    Mayr, M.
    Recheis, W.
    MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: LAND, WATER AND ENVIRONMENTAL MANAGEMENT: INTEGRATED SYSTEMS FOR SUSTAINABILITY, 2007, : 427 - 433
  • [30] Three dimensional deformation measurement method based on image guided point cloud registration
    Yuan, Yingtao
    Ge, Zhendong
    Lai, Baokang
    Guo, Xiang
    Zhang, Yueqiang
    Liu, Xiaolin
    Suo, Tao
    Yu, Qifeng
    OPTICS AND LASERS IN ENGINEERING, 2023, 161