Description Usage Arguments Value Examples
We estimate the squint angle by interpolating from a random starting plane towards the optimal view until the index value of the selected index function is above the selected cutoff. Since this depends on the direction, this is repeated with n randomly selected planes giving a distribution representative of the squint angle.
1 2 | squintAngleEstimate(data, indexF, cutoff, structurePlane, n = 100,
stepSize = 0.01)
|
data |
Input data |
indexF |
Index function |
cutoff |
Threshold index value above which we assume the structure to be visible |
structurePlane |
Plane defining the optimal view |
n |
Number of random starting planes (default = 100) |
stepSize |
Interpolation step size fixing the accuracy (default = 0.01) |
numeric vector containing all squint angle estimates
1 2 3 4 5 | data <- spiralData(4, 100)
indexF <- scagIndex("Skinny")
cutoff <- 0.7
structurePlane <- basisMatrix(3,4,4)
squintAngleEstimate(data, indexF, cutoff, structurePlane, n=1)
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