• DocumentCode
    1344057
  • Title

    Recognition of 3D Objects Based on Implicit Polynomials

  • Author

    Ben-Yaacov, Hilla ; Malah, David ; Barzohar, Meir

  • Author_Institution
    Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
  • Volume
    32
  • Issue
    5
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    954
  • Lastpage
    960
  • Abstract
    Closed-form expressions for a new set of 3D rotation invariants that are linear, quadratic, and angular combinations of implicit polynomial (IP) coefficients are developed. Based on these invariants, we propose a 3D object recognition method that outperforms recognition based on IP fitting after pose estimation, and the MPEG-7 SSD technique.
  • Keywords
    object recognition; polynomials; pose estimation; 3D object recognition method; 3D rotation invariants; MPEG-7 SSD technique; closed-form expressions; implicit polynomial coefficient; pose estimation; 3D object fitting.; 3D object recognition; Implicit polynomials; rotation-invariant; tensor contraction; Algorithms; Artificial Intelligence; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Subtraction Technique;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2009.197
  • Filename
    5342437