Description Usage Arguments Value Author(s) Source References Examples
fit.conicLMA
fits a conic to a given set of points
(Implicit method) using algebraic parameters. Conic: Ax^2 + Bxy + Cy^2 +Dx + Ey + F = 0
1 2 | fit.conicLMA(XY, ParAini, LambdaIni, epsilonP = 1e-10, epsilonF = 1e-13,
IterMAX = 2e+06)
|
XY |
array of sample data |
ParAini |
initial parameter vector c(A,B,C,D,E,F) |
LambdaIni |
initial value of the control parameter Lambda |
epsilonP |
tolerance (small threshold) |
epsilonF |
tolerance (small threshold) |
IterMAX |
maximum number of (main) iterations, usually 10-20 will suffice |
list(ParA, RSS, iters |
list with algebraic parameters (Center(1:2), Axes(1:2), Angle), Residual Sum of Squares and number of iterations |
Jose Gama
Nikolai Chernov, 2014 Fitting ellipses, circles, and lines by least squares http://people.cas.uab.edu/~mosya/cl/
N. Chernov, Q. Huang, and H. Ma, 2014 Fitting quadratic curves to data points British Journal of Mathematics & Computer Science, 4, 33-60.
N. Chernov and H. Ma, 2011 Least squares fitting of quadratic curves and surfaces In: Computer Vision, Editor S. R. Yoshida, Nova Science Publishers; pp. 285-302.
Nikolai Chernov, 2014 Fitting ellipses, circles, and lines by least squares http://people.cas.uab.edu/~mosya/cl/
N. Chernov, Q. Huang, and H. Ma, 2014 Fitting quadratic curves to data points British Journal of Mathematics & Computer Science, 4, 33-60.
N. Chernov and H. Ma, 2011 Least squares fitting of quadratic curves and surfaces In: Computer Vision, Editor S. R. Yoshida, Nova Science Publishers; pp. 285-302.
1 2 3 4 |
Loading required package: pracma
Loading required package: geigen
$ParA
[,1]
[1,] 0.05511764
[2,] -0.09080764
[3,] 0.15881027
[4,] 0.04892510
[5,] -0.96688118
[6,] 0.16199516
$RSS
[1] 1.373306
$iters
[1] 18
$exitCode
[1] 1
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