SIFT:
  # initial Gaussian blur sigma (SIFT parameter, ex. 1.6)
  initialSigma: 1.6
  # steps per scale octave (SIFT parameter, ex. 3)
  steps: 3
  # minimum image size in pixels (SIFT parameter, ex. 64)
  minOctaveSize: 64
  # maximum image size in pixels (SIFT parameter, ex. 1024)
  maxOctaveSize: 1024
  # feature descriptor size (SIFT parameter, ex. 4)
  fdSize: 8
  # feature descriptor orientation bins (SIFT parameter, ex. 8)
  fdBins: 8
  # closest/next closest ratio (SIFT parameter, ex. 0.92)
  rod: 0.92
  # maximal alignment error in pixels (SIFT parameter, ex. 25)
  maxEpsilon: 25
  # inlier ratio (SIFT parameter, ex. 0.05)
  minInlierRatio: 0.05
  # expected transformation (SIFT parameter, 0:Translation, 1:Rigid, 2:Similarity, 3:Affine, 4:Perspective)
  modelIndex: 1

bUnwarpJ:
  mode: 1  # 0-2 (0-Accurate, 1-Fast, 2-Mono)
  subsampleFactor: 2  # 0-7 (0 = 2^0, 7 = 2^7)
  minScale: 0  # 0-3 (0-Very Coarse, 1-Coarse, 2-Fine, 3-Very Fine)
  maxScale: 3  # 0-4 (0-Very Coarse, 1-Coarse, 2-Fine, 3-Very Fine, 4-Super Fine)
  # weight to penalize divergence (Ex. 0.1)
  divWeight: 0.1
  # weight to penalize curl (Ex. 0.1)
  curlWeight: 0.1
  # weight to penalize landmark location error (Ex. 1.0)
  landmarkWeight: 1.0
  # weight to penalize intensity difference (Ex. 1.0)
  imageWeight: 0.5
  # weight to penalize consistency difference (Ex. 1.0)
  consistencyWeight: 10.0
  # error function stopping threshold value (Ex. 0.01)
  stopThreshold: 0.01
