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5.0 | 10 ratings Rate this file 5 Downloads (last 30 days) File Size: 3.27 KB File ID: #7233 Version: 1.0
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22 Mar 2005 (Updated )

Generate evenly spaced points along an existing curve in 2D or 3D.

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CURVSPACE(P,N) generates N points that interpolates a curve (represented by a set of points) with an equal spacing. Each row of P defines a point, which means that P should be a n x 2 (2D) or a n x 3 (3D) matrix.
x = -2*pi:0.5:2*pi;
y = 10*sin(x);
z = linspace(0,10,length(x));
N = 50;
p = [x',y',z'];
q = curvspace(p,N);

The above example creates 50 evenly spaced points along a sinusoidal curve.


This file inspired Kirchhoff Vortex Contour Dynamics Simulation.

MATLAB release MATLAB 5.3.1 (R11.1)
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Comments and Ratings (13)
01 Dec 2016 Emily

Emily (view profile)

17 May 2016 Alize

Alize (view profile)

20 Dec 2013 Francesca

This function is very good! You solved me a very big problem! Thank you!

10 Aug 2013 John D'Errico

John D'Errico (view profile)

Not vectorized, and purely linear interpolation. Better is my own interparc, also here on the fex.

For example, given 4 points around a circle, try this:

t = linspace(0,2*pi,5)';
xy = [cos(t),sin(t)];

tic,xyi = interparc(100,xy(:,1),xy(:,2),'lin');toc
Elapsed time is 0.001540 seconds.

tic,xyc = curvspace(xy,100);toc
Elapsed time is 0.004692 seconds.

So the unvectorized code is slower. And if we plot the points, we see a diamond results, thus connect the dots interpolation.


You can use interparc to get a nice smooth curve instead. Of course, it will be slower, since it is actually finding the true distance along the interpolated spline curve.

xyi = interparc(100,xy(:,1),xy(:,2),'cs');

The help is good enough, and I see plentiful internal comments, so well done there. The code is reasonable, although a bit loopy.

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10 Aug 2013 ted p teng

ted p teng (view profile)

31 Jan 2012 TCH

TCH (view profile)

great job. I have implemented an equivalent function in the following link, :-.
purely could be a reference.

22 Apr 2011 Erhong

Erhong (view profile)

08 Jan 2009 Andrea Tagliasacchi

thanks a lot, I didn't want to lose time re-implementing it!

17 Jan 2007 Sven Mensing

Thank you for your excellent function. If you replace the distance by

function l = distance(x,y)
l = sqrt(sum((x-y).^2,2));

and calculate the distance between the points as follows:

dist_bet_pts = distance ( p(1:(length(p)-1),:), p(2:length(p),:));

you can increase the speed of curvspace by 300%.

Thanks again

Sven Mensing

25 Mar 2006 Daniel Daniel

Works Great! This is an incredibly useful tool. Unlike Matlab's interp functions the X-data does not have to be distint.

Thankyou for this handy function.

03 Feb 2006 Valer Jurcak

Works fine, thaks. Please make N input also as percentual legth.
if N < 1 % e.g. 0.1 make new point every 10% of totaldist.
N = N * totaldist;

Comment only
18 May 2005 meng mingyang

It's not as my imagination,but it illumined me .Thank you!

Comment only
18 May 2005 meng mingyang

useful program! It's exact what I want!
Thank you very much!

01 Apr 2016 1.0

BSD License added.

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