Overconstrained Linear Estimation of Radial Distortion and Multi-view Geometry

Author(s):  
R. Matt Steele ◽  
Christopher Jaynes
2020 ◽  
Vol 13 (6) ◽  
pp. 1-8
Author(s):  
AN Ling-ping ◽  
◽  
WANG Shuang ◽  
ZHANG Geng ◽  
LI Juan ◽  
...  

1991 ◽  
Vol 7 (3) ◽  
pp. 397-403 ◽  
Author(s):  
Kenneth Nordström

Alternative definitions of the concentration ellipsoid of a random vector are surveyed, and an extension of the concentration ellipsoid of Darmois is suggested as being the most convenient and natural definition. The advantage of the proposed definition in providing substantially simplified proofs of results in (linear) estimation theory is discussed, and is illustrated by new and short proofs of two key results. A not-so-well-known, but elementary, extremal representation of a nonnegative definite quadratic form, together with the corresponding Cauchy-Schwarẓ-type inequality, is seen to play a crucial role in these proofs.


Statistics ◽  
2013 ◽  
Vol 47 (1) ◽  
pp. 26-44 ◽  
Author(s):  
Jacques Demongeot ◽  
Ali Laksaci ◽  
Fethi Madani ◽  
Mustapha Rachdi

Optik ◽  
2021 ◽  
pp. 167895
Author(s):  
Jong-Chol Kang ◽  
Chol-Su Kim ◽  
Il-Jun Pak ◽  
Ju-Ryong Son ◽  
Chol-Sun Kim

2001 ◽  
Vol 8 (12) ◽  
pp. 310-312 ◽  
Author(s):  
J. Navarro-Moreno ◽  
J.C. Ruiz-Molina

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