• DocumentCode
    505209
  • Title

    Mass Measurement Method of Bulk Materials Based on Reverse Engineering

  • Author

    Feng, Li ; Yanbo, Hui ; Xiaoqing, Wu

  • Author_Institution
    Adv. Manuf. Technol. Res. Inst., Henan Univ. of Technol., Zhengzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    26-27 Aug. 2009
  • Firstpage
    81
  • Lastpage
    84
  • Abstract
    This paper proposes a reverse engineering-based method for mass measurement of bulk materials with an irregular shape. Through repeated measurements, the multi-view point cloud data of a material stack surface can be obtained and the 3D surface model can be reconstructed after point cloud data registration. The volume of the stack can be calculated through image acquisition, data analysis and 3D reconstruction. After measuring the density of a material stack sample, the mass can be calculated through a combination of volume and density. An experiment using a rice stack shows that the measuring error of the system is lower than one percent. It is suitable for the mass measurement of grain stacks and other material stacks as well.
  • Keywords
    computerised instrumentation; data analysis; image reconstruction; image registration; mass measurement; reverse engineering; volume measurement; 3D reconstruction; 3D surface model; bulk materials; computer vision; data analysis; image acquisition; mass measurement method; material stack surface; multiview point cloud data; point cloud data registration; reverse engineering method; volume measurement; Cameras; Clouds; Computer vision; Gratings; Image reconstruction; Pixel; Reverse engineering; Shape measurement; Surface reconstruction; Volume measurement; bulk materials; mass measurement; reverse engineering; volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
  • Conference_Location
    Hangzhou, Zhejiang
  • Print_ISBN
    978-0-7695-3752-8
  • Type

    conf

  • DOI
    10.1109/IHMSC.2009.29
  • Filename
    5335923