• DocumentCode
    3018615
  • Title

    Maximum-likelihood and best invariant orientation estimation

  • Author

    Clarkson, I. Vaughan L ; Howard, Stephen D. ; Moran, William ; Cochran, Douglas ; Dawson, Megan L.

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    1996
  • Lastpage
    2000
  • Abstract
    Estimation of orientation or attitude is a longstanding problem in statistics and signal processing, with applications to crystallography, aeronautics and computer vision. In this paper, we consider the Mackenzie-Wahba estimator. This estimator is known to be maximum-likelihood but we further show that it is a Bayes estimator and also a best invariant estimator.
  • Keywords
    crystallography; maximum likelihood estimation; signal processing; Bayes estimator; Mackenzie-Wahba estimator; aeronautics; attitude estimation; best invariant estimator; computer vision; crystallography; maximum-likelihood estimation; orientation estimation; signal processing; statistics processing; Australia; Bayesian methods; Coordinate measuring machines; Crystallography; Maximum likelihood estimation; Space vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-9722-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2010.5757890
  • Filename
    5757890
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3018615