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Constructing Spline Curves in 2D and 3D

This example shows how to use the cscvn command from Curve Fitting Toolbox™ to construct cubic spline curves in two and three dimensions.

Selecting the Points

This example will show how to draw a smooth curve through a list of points, in the order in which they occur. First, we select some random points in the plane, and store them in a matrix, one point per column.

npts = 10;
xy = [randn(1,npts); randn(1,npts)];
text(xy(1,:), xy(2,:),[repmat('  ',npts,1), num2str((1:npts)')])
ax = gca;
ax.XTick = [];
ax.YTick = [];

Connecting the Points

Next, construct the curve using the cscvn command and plot it using fnplt.

hold on
hold off

You could also use the getcurve command if you wanted to input the list of points interactively.

3-D Spline Curves

It's just as easy to create spline curves in three dimensions. This time, we'll do something less random. First, we generate the points.

npts = 13;
t = linspace(0,8*pi,npts);
z = linspace(-1,1,npts);
omz = sqrt(1-z.^2);
xyz = [cos(t).*omz; sin(t).*omz; z];
text(xyz(1,:),xyz(2,:),xyz(3,:),[repmat('  ',npts,1), num2str((1:npts)')])
ax = gca;
ax.XTick = [];
ax.YTick = [];
ax.ZTick = [];
box on

Connecting the Points

Here is the 3D spline curve through these points provided by cscvn. By appending the first point to the end of the list, we get a smooth closed curve.

hold on
fnplt(cscvn(xyz(:,[1:end 1])),'r',2)
hold off