riem.interp: Geodesic Interpolation

In Riemann: Learning with Data on Riemannian Manifolds

Geodesic Interpolation

Description

Given 2 observations X_1, X_2 \in \mathcal{M}, find the interpolated point of a geodesic γ(t) for t \in (0,1) which assumes two endpoints γ(0)=X_1 and γ(1)=X_2.

Usage

riem.interp(riemobj, t = 0.5, geometry = c("intrinsic", "extrinsic"))

Arguments

riemobj	a S3 "riemdata" class for 2 manifold-valued data where the first object is the starting point.
t	a scalar in (0,1) for which the interpolation is taken.
geometry	(case-insensitive) name of geometry; either geodesic ("intrinsic") or embedded ("extrinsic") geometry.

Value

an interpolated object in matrix representation on \mathcal{M}.

Examples

#-------------------------------------------------------------------
#       Geodesic Interpolation between (1,0) and (0,1) in S^1
#-------------------------------------------------------------------
## PREPARE DATA
sp.start = c(1,0)
sp.end   = c(0,1)
sp.data  = wrap.sphere(rbind(sp.start, sp.end))

## FIND THE INTERPOLATED POINT AT "t=0.25"
mid.int = as.vector(riem.interp(sp.data, t=0.25, geometry="intrinsic"))
mid.ext = as.vector(riem.interp(sp.data, t=0.25, geometry="extrinsic"))

## VISUALIZE
#  Prepare Lines and Points
thetas  = seq(from=0, to=pi/2, length.out=100)
quarter = cbind(cos(thetas), sin(thetas))
pic.pts = rbind(sp.start, mid.int, mid.ext, sp.end)
pic.col = c("black","red","green","black")

# Draw
opar <- par(no.readonly=TRUE)
par(pty="s")
plot(quarter, main="two interpolated points at t=0.25",
     xlab="x", ylab="y", type="l")
points(pic.pts, col=pic.col, pch=19)
text(mid.int[1]-0.1, mid.int[2], "intrinsic", col="red")
text(mid.ext[1]-0.1, mid.ext[2], "extrinsic", col="green")
par(opar)

Riemann documentation built on March 18, 2022, 7:55 p.m.