• DocumentCode
    2395497
  • Title

    Applications of Lie groups and Lie algebra to computer vision: A brief survey

  • Author

    Xu, Qiang ; Ma, Dengwu

  • Author_Institution
    Dept. of Ordnance Sci. & Technol., Naval Aeronaut. & Astronaut. Univ., Yantai, China
  • fYear
    2012
  • fDate
    19-20 May 2012
  • Firstpage
    2024
  • Lastpage
    2029
  • Abstract
    Recent years an extensive literature appears using the Lie groups theory to solve the problems of computer vision. Lie groups theory is the natural representation of a space of transformations. Lie algebra is the tangent space of Lie groups at the identity. From Lie groups to Lie algebra, we can establish a mapping from the multiplicative structure to an equivalent vector space representation, which makes correlation calculation become rational and precise. Based on the linear structure of Lie algebra, many statistical learning methods can be readily applied. This survey briefly reviews the different approaches about the use of Lie groups theory that have been developed by research; introducing the mathematical background of Lie groups theory corresponding to computer vision; describing the main approaches in details according two categories.
  • Keywords
    Lie algebras; Lie groups; computer vision; matrix algebra; Lie algebra; Lie groups theory; computer vision; multiplicative structure; statistical learning methods; vector space representation; Computer vision; Generators; Manifolds; Transforms; Vectors; Vehicles; Lie algebra; Lie groups; computer vision; transformation matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2012 International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4673-0198-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2012.6223449
  • Filename
    6223449