This function aligns two SRVF functions using Dynamic Programming. If the
curves beta1 and beta2 are describing multidimensional functional data, then
rotation == FALSE and mode == 'O'
curve 1, provided as a matrix of dimensions \(n \times M\) for
\(n\)-dimensional curve evaluated on \(M\) sample points
beta2
curve 1, provided as a matrix of dimensions \(n \times M\) for
\(n\)-dimensional curve evaluated on \(M\) sample points
lambda
controls amount of warping (default = 0)
method
controls which optimization method. Options are
Dynamic Programming ("DP"). (default = "DP")
w
controls LRBFGS (default = 0.01)
rotated
boolean if rotation is desired
isclosed
boolean if curve is closed
mode
Open ("O") or Closed ("C") curves
References
Srivastava, A., Klassen, E., Joshi, S., Jermyn, I., (2011). Shape analysis of elastic curves in euclidean spaces. Pattern Analysis and Machine Intelligence, IEEE Transactions on 33 (7), 1415-1428.