• DocumentCode
    3129148
  • Title

    3D pose estimation for bin-picking task using convex hull

  • Author

    Xu, Jie ; Pu, Songtao ; Zeng, Gang ; Zha, Hongbin

  • Author_Institution
    Machine Perception Lab., Peking Univ., Beijing, China
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    1381
  • Lastpage
    1385
  • Abstract
    Object pose estimation in bin-picking task is an important problem in the industry. Since objects shapes are very different, there not exists a general method now to deal with all kinds of objects. Here we use convex hulls of the planes of the objects to do object 3D pose estimation. This method ignores details of objects shapes, and is robust in matching. Our method is applicable for all the objects with planes. The experiments show that our method is efficiency and fast, and is applicable in real-time bin-picking task.
  • Keywords
    bin packing; image matching; pose estimation; solid modelling; 3D pose estimation; convex hull; object matching; object pose estimation; real-time bin-picking task; Computational modeling; Design automation; Estimation; Feature extraction; Shape; Solid modeling; Vectors; Bin-picking; Convex hull; Pose estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-1275-2
  • Type

    conf

  • DOI
    10.1109/ICMA.2012.6284338
  • Filename
    6284338