added conversion helpers for matlab

added examples for using the python wrappers in matlab
2015-10-07 01:49:58 +02:00
parent 9f467b8009
commit 4e4cadbbcf
12 changed files with 220 additions and 186 deletions
@@ -0,0 +1,60 @@
+% Launch the external viewer
+launch_viewer;
+
+V = py.igl.eigen.MatrixXd();
+F = py.igl.eigen.MatrixXi();
+py.igl.read_triangle_mesh('../tutorial/shared/fertility.off', V, F);
+
+% Alternative discrete mean curvature
+HN = py.igl.eigen.MatrixXd();
+L = py.igl.eigen.SparseMatrixd();
+M = py.igl.eigen.SparseMatrixd();
+Minv = py.igl.eigen.SparseMatrixd();
+
+
+py.igl.cotmatrix(V,F,L);
+py.igl.massmatrix(V,F,py.igl.MASSMATRIX_TYPE_VORONOI,M);
+
+py.igl.invert_diag(M,Minv);
+
+% Laplace-Beltrami of position
+HN = -Minv*(L*V);
+
+% Extract magnitude as mean curvature
+H = HN.rowwiseNorm();
+
+% Compute curvature directions via quadric fitting
+PD1 = py.igl.eigen.MatrixXd();
+PD2 = py.igl.eigen.MatrixXd();
+
+PV1 = py.igl.eigen.MatrixXd();
+PV2 = py.igl.eigen.MatrixXd();
+
+py.igl.principal_curvature(V,F,PD1,PD2,PV1,PV2);
+
+% Mean curvature
+H = 0.5*(PV1+PV2);
+
+viewer = py.tcpviewer_single.TCPViewer();
+viewer.data.set_mesh(V, F);
+
+% Compute pseudocolor
+C = py.igl.eigen.MatrixXd();
+py.igl.parula(H,true,C);
+
+viewer.data.set_colors(C);
+
+% Average edge length for sizing
+avg = py.igl.avg_edge_length(V,F);
+
+% Draw a blue segment parallel to the minimal curvature direction
+red  = m2p([0.8,0.2,0.2]);
+blue = m2p([0.2,0.2,0.8]);
+
+viewer.data.add_edges(V + PD1*avg, V - PD1*avg, blue);
+
+% Draw a red segment parallel to the maximal curvature direction
+viewer.data.add_edges(V + PD2*avg, V - PD2*avg, red);
+
+% Plot
+viewer.launch()