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Calculates the Riemannian shape distance rho between two configurations
riemdist(x, y, reflect=FALSE)
k x m matrix (or complex k-vector for 2D data) where k = number of landmarks and m = no of dimensions
k x m matrix (or complex k-vector for 2D data)
Logical. If reflect = TRUE then reflection invariance is included.
The Riemannian shape distance rho between the two configurations. Note 0 <= rho <= pi/2 if no reflection invariance
Kendall, D. G. (1984). Shape manifolds, Procrustean metrics and complex projective spaces, Bulletin of the London Mathematical Society, 16, 81-121.
procOPA,procGPA
# NOT RUN { data(gorf.dat) data(gorm.dat) gorf<-procGPA(gorf.dat) gorm<-procGPA(gorm.dat) rho<-riemdist(gorf$mshape,gorm$mshape) cat("Riemannian distance between mean shapes is ",rho," \n") # }
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