# riem.interps: Geodesic Interpolation of Multiple Points In Riemann: Learning with Data on Riemannian Manifolds

 riem.interps R Documentation

## Geodesic Interpolation of Multiple Points

### Description

Given 2 observations X_1, X_2 \in \mathcal{M}, find the interpolated points 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.interps(
riemobj,
vect = c(0.25, 0.5, 0.75),
geometry = c("intrinsic", "extrinsic")
)


### Arguments

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

### Value

a 3d array where T slices along 3rd dimension are interpolated objects in matrix representation.

### 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 FOR t=0.1, 0.2, ..., 0.9.
myvect  = seq(from=0.1, to=0.9, by=0.1)
geo.int = riem.interps(sp.data, vect=myvect, geometry="intrinsic")
geo.ext = riem.interps(sp.data, vect=myvect, geometry="extrinsic")

geo.int = matrix(geo.int, byrow=TRUE, ncol=2) # re-arrange for plotting
geo.ext = matrix(geo.ext, byrow=TRUE, ncol=2)

## VISUALIZE
#  Prepare Lines and Points
thetas  = seq(from=0, to=pi/2, length.out=100)
quarter = cbind(cos(thetas), sin(thetas))

pts.int = rbind(sp.start, geo.int, sp.end)
pts.ext = rbind(sp.start, geo.ext, sp.end)
col.int = c("black", rep("red",9),  "black")
col.ext = c("black", rep("blue",9), "black")

# Draw
par(mfrow=c(1,2), pty="s")
plot(quarter, main="intrinsic interpolation", # intrinsic geodesic
xlab="x", ylab="y", type="l")
points(pts.int, col=col.int, pch=19)
for (i in 1:9){
text(geo.int[i,1]*0.9, geo.int[i,2]*0.9,
paste0(round(i/10,2)), col="red")
}
plot(quarter, main="extrinsic interpolation", # intrinsic geodesic
xlab="x", ylab="y", type="l")
points(pts.ext, col=col.ext, pch=19)
for (i in 1:9){
text(geo.ext[i,1]*0.9, geo.ext[i,2]*0.9,
paste0(round(i/10,2)), col="blue")
}
par(opar)



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