Maximum-likelihood and best invariant orientation estimation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationConference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Pages1996-2000
Number of pages5
DOIs
StatePublished - Dec 1 2010
Event44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 - Pacific Grove, CA, United States
Duration: Nov 7 2010Nov 10 2010

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
CountryUnited States
CityPacific Grove, CA
Period11/7/1011/10/10

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Maximum-likelihood and best invariant orientation estimation'. Together they form a unique fingerprint.

  • Cite this

    Clarkson, I. V. L., Howard, S. D., Moran, W., Cochran, D., & Dawson, M. L. (2010). Maximum-likelihood and best invariant orientation estimation. In Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 (pp. 1996-2000). [5757890] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2010.5757890