• DocumentCode
    3132229
  • Title

    Geometric invariants using geometry algebra

  • Author

    Qing, Ni ; Zhengzhi, Wang

  • Author_Institution
    Inst. of Autom., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    2
  • fYear
    2011
  • fDate
    20-21 Aug. 2011
  • Firstpage
    171
  • Lastpage
    174
  • Abstract
    In this paper, we interpret the fundamental geometric invariants in a new framework: geometric algebra (GA). The study of such geometric invariance is a field of active research. The homogeneous model (Grassmann model) is selected for different kinds of geometric invariants, including Euclidean invariants, Projective invariants etc. GA focuses on the subspace of a vector space as elements of computation. Linear transformation can be extended to the subspace structure. The paper compares the meaning of invariants using the new model with that using the traditional one. This work shows that geometric algebra is a very elegant language for expressing geometric objects.
  • Keywords
    algebra; geometry; Euclidean invariants; Grassmann model; geometric algebra; geometric invariance; geometric invariants; geometry algebra; homogeneous model; linear transformation; projective invariants; vector space; Computational modeling; Computer vision; Geometry; Measurement; Transforms; Vectors; geometric invariants; geometric transformations; geometric(Clifford)algebra; homogeneous model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9599-3
  • Type

    conf

  • DOI
    10.1109/CCIENG.2011.6008094
  • Filename
    6008094