Alternative random sample consensus (\)

Alternative random sample consensus (\)

RANSACAlt(
  fixedPoints,
  movingPoints,
  transformType = "Affine",
  nToTrim = 2,
  minProportionPoints = 0.5,
  nCVGroups = 0,
  lambda = 1e-06,
  domainImage = NULL,
  numberOfFittingLevels = 4,
  meshSize = 1,
  dataWeights = NULL,
  verbose = FALSE
)

Arguments

fixedPoints

fixed points matrix
movingPoints

moving points matrix
transformType

Affine, Rigid and Similarity currently supported
nToTrim

the number of points to throw away at each iteration; if this is a two-vector then we will sample values between these; can be used to accelerate the search with a higher number earlier.
minProportionPoints

the minimum proportion of points to return
nCVGroups

number of cross-validation groups to determine error
lambda

ridge penalty in zero to one
domainImage

image defining the domain for deformation maps.
numberOfFittingLevels

integer specifying the number of fitting levels.
meshSize

vector defining the mesh size at the initial fitting level.
dataWeights

vector defining the individual weighting of the corresponding scattered data value. Default = NULL meaning all values are weighted the same.
verbose

boolean

Value

output list contains best fitted model, inliers, outliers