2015-01-23 09:39:02 +08:00
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function sc = covarianceEllipse3D(c,P,scale)
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2012-09-08 13:28:25 +08:00
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% covarianceEllipse3D plots a Gaussian as an uncertainty ellipse
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2012-06-05 13:15:26 +08:00
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% Based on Maybeck Vol 1, page 366
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% k=2.296 corresponds to 1 std, 68.26% of all probability
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% k=11.82 corresponds to 3 std, 99.74% of all probability
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%
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% Modified from http://www.mathworks.com/matlabcentral/newsreader/view_thread/42966
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2015-01-23 00:24:43 +08:00
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hold on
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2012-06-06 07:51:12 +08:00
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[e,s] = svd(P);
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2012-06-05 13:15:26 +08:00
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k = 11.82;
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radii = k*sqrt(diag(s));
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2015-01-23 09:39:02 +08:00
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if exist('scale', 'var')
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radii = radii * scale;
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end
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2012-06-05 13:15:26 +08:00
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% generate data for "unrotated" ellipsoid
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2012-07-24 03:21:00 +08:00
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[xc,yc,zc] = ellipsoid(0,0,0,radii(1),radii(2),radii(3),8);
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2012-06-05 13:15:26 +08:00
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% rotate data with orientation matrix U and center M
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data = kron(e(:,1),xc) + kron(e(:,2),yc) + kron(e(:,3),zc);
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n = size(data,2);
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2020-03-21 00:12:06 +08:00
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x = data(1:n,:)+c(1);
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y = data(n+1:2*n,:)+c(2);
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2012-06-06 07:51:12 +08:00
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z = data(2*n+1:end,:)+c(3);
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2012-06-05 13:15:26 +08:00
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% now plot the rotated ellipse
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2012-06-07 15:43:22 +08:00
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sc = surf(x,y,z,abs(xc));
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2012-06-05 13:15:26 +08:00
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shading interp
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alpha(0.5)
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axis equal
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