• DocumentCode
    554544
  • Title

    3D Model retrieval technology based on 3D reconstruction

  • Author

    Jiawei Zhang ; YunXia Liu

  • Author_Institution
    Software Coll. in Henan Univ., Henan Univ., Zhengzhou, China
  • Volume
    4
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1832
  • Lastpage
    1835
  • Abstract
    In order to overcome the problem that the low efficiency of current 2D target object recognition system and the process of target object recognition based 3D reconstruction is complex. The paper proposes a 3D model retrieval technology based on 3D reconstruction. The system use a new automatically select 2D feature points technology based Horn-Schunck flow algorithm and canny operator; then use 3D cloud points reconstruction technology based on Expectation-Maximization algorithm (EM) and Structure From Motion algorithm (SFM) reconstruct 3D cloud points of target object; then use a new technology rapid extract Extended Gaussian Image (EGI) based on Crust algorithm to complete matching and retrieving target object, at last prove the system is efficiency and accuracy.
  • Keywords
    Gaussian processes; expectation-maximisation algorithm; feature extraction; image matching; image motion analysis; image reconstruction; image retrieval; object recognition; solid modelling; 2D feature point technology; 2D target object recognition system; 3D cloud point reconstruction technology; 3D model retrieval technology; Horn-Schunck flow algorithm; canny operator; crust algorithm; expectation-maximization algorithm; extended Gaussian image extraction; structure from motion algorithm; target object matching; target object retrieval; Computer vision; Feature extraction; Image motion analysis; Optical imaging; Signal processing algorithms; Solid modeling; Three dimensional displays; 3D Models Retrieval; 3D reconstruction; EGI; Optical Flow Algorithm; Target Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
  • Conference_Location
    Harbin, Heilongjiang, China
  • Print_ISBN
    978-1-61284-087-1
  • Type

    conf

  • DOI
    10.1109/EMEIT.2011.6023461
  • Filename
    6023461