RANSACAlt: Alternative random sample consensus (\)

In stnava/patchMatchR: Local patch matching with flexible transformation models in n-dimensional images

Alternative random sample consensus (\)

Description

Alternative random sample consensus (\)

Usage

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

stnava/patchMatchR documentation built on March 23, 2022, 6:47 a.m.