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 :
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