Estimates best global motion between two 2D point clouds in the least-squares sense

M = cv.estimateGlobalMotionLeastSquares(points0, points1)
[M,rmse] = cv.estimateGlobalMotionLeastSquares(points0, points1)
[...] = cv.estimateGlobalMotionLeastSquares(..., 'OptionName',optionValue, ...)

Input

• points0 Source set of 2D points of type single, stored in numeric array (Nx2/Nx1x2/1xNx2) or cell-array of 2-element vectors {[x,y], [x,y], ...}.
• points1 Destination set of 2D points of type single, of same format as points0.

Output

• M 3x3 2D transformation matrix of type single.
• rmse Final root-mean-square error.

Options

• MotionModel Motion model between two point clouds. One of:
  • Translation
  • TranslationAndScale
  • Rotation
  • Rigid
  • Similarity
  • Affine (default)