Mercurial > repos > public > sbplib
diff +parametrization/dataSpline.m @ 1098:36d092a00040 feature/dataspline
Bugfix Curve.arcLengthParametrization() by using linear interpolation instead of higher-order spline for parameter as a funciton of arclength. Generalize dataSpline() to curves in higher dimensions.
author | Martin Almquist <malmquist@stanford.edu> |
---|---|
date | Tue, 09 Apr 2019 09:50:44 -0700 |
parents | fdff002ebb32 |
children | 60c875c18de3 |
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--- a/+parametrization/dataSpline.m Mon Apr 08 22:30:47 2019 +0200 +++ b/+parametrization/dataSpline.m Tue Apr 09 09:50:44 2019 -0700 @@ -1,28 +1,19 @@ -% Accepts data points (t_i, f_i) and returns a Curve object, -% using spline interpolation. +% dataSpline calculates a Curve through the points f_i using cubic spline interpolation. % The spline curve is parametrized with the arc length parametrization % to facilitate better grids. % -% t_data - vector -% f_data - vector -% C - curve object -function C = dataSpline(t_data, f_data) +% f - m x D matrix of m points in D dimensions +function C = dataSpline(f) + m = size(f, 1); - assert(length(t_data)==length(f_data),'Vectors must be same length'); - m_data = length(t_data); + t = linspace(0,1,m); - pp_g = spapi(4, t_data, f_data); + pp_g = spapi(4, t, f'); pp_gp = fnder(pp_g); - % Reparametrize with parameter s from 0 to 1 to use Curve class - tmin = min(t_data); - tmax = max(t_data); - t = @(s) tmin + s*(tmax-tmin); - dt_ds = @(s) 0*s + (tmax-tmin); - g = @(s) [t(s); fnval(pp_g, t(s))]; - gp = @(s) [dt_ds(s); fnval(pp_gp, t(s)).*dt_ds(s)]; + g = @(t) fnval(pp_g, t); + gp = @(t) fnval(pp_gp, t); - % Create Curve object and reparametrize with arclength parametrization C = parametrization.Curve(g, gp); - C = C.arcLengthParametrization(m_data); + C = C.arcLengthParametrization(); end