Geometry package

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The geometry package is multipackage providing functions to manipulate geometrical entities in 2D and 3D. It is based in matGeom and extends it with several other functionalities, e.g. the package provides interfaces with SVG files and polygon meshing using Gmsh.

Relation to matGeom


Piece-wise 2D polynomial polygons


Loading SVG files

Meshing Octave

Under construction

This tutorial shows the workflow to generate a triangular mesh inside an arbitrary region. This tutorial requires that you install the package fpl and msh (which requires Gmsh installed in your system). Alternatively, the core function delaunay could be used but the result aren't so pretty.

This tutorial requires an interesting shape to mesh. If you have Inkscape you can create one, and use the previous tutorial to load it into octave. Here I will be using this SVG.

Code: Loading the file as polygon compatible with geometry package
octavesvg = svg ("octave.svg").normalize();
ids       = octavesvg.pathid();
P         = octavesvg.path2polygon (ids{1}, 12)(1:end-1,:);
P         = bsxfun (@minus, P, centroid (P));

Now we have our SVG as a polygon compatible with the Geometry package format. You can plot the polygon using the function drawPolygon.

Code: Plotting a polygon compatible with geometry package
drawPolygon (P, "-o");

As you can see the polygon has lots of points. We need to simplify the polygon in order to obtain a mesh of reasonable size. Otherwise gmsh will have problems meshing and the result could be huge (or a segmentation fault :( ). The package geometry comes with a simplification function but as of version 1.4.0, this function is very naïve and wont fix this problem. If you know how to simplify polygons you can contribute! We are going to reduce the amount of points of the polygon in a drastic and destructive way (i.e. the shape may be considerably damaged). The codes to do so follows, in the future a better procedure will be published here.

Code: Symplification of a polygon compatible with geometry package
Ps = P; 
n  = 1e6;
thrsd = 0.38; 
while n > size (Ps,1)
  n  = size (Ps,1); 
  ds = sqrt (sumsq (Ps(1:end,:) - Ps([2:end 1],:),2));
  Ps = Ps(ds > mean (ds)*(1-thrsd),:); 
whos P Ps
P  = Ps; 

The next step is to mesh the interior of the polygon. To do this we could just call delaunay on the polygon and be done with it, but in general such mesh wont be so nice (you will need to add interior points). A very effective way of generating a good mesh is to use the package msh, which requires Gmsh installed in your system. The function data2geo in the Geometry package makes our work very easy:

Code: Generating mesh for plot with msh package
pkg load msh
filename = tmpnam ();
meshsize = sqrt (mean (sumsq (diff (P, 1, 1), 2)))/2;
data2geo (P, meshsize, "output", [filename ".geo"]);
T        = msh2m_gmsh (filename);

After this code finishes, the structure T contains our mesh. To plot the generated mesh we use the function pdemesh from the fpl package. In general is a good idea to use the openGL render (called fltk) to plot meshes.

Code: Plotting mesh with fpl package
pkg load fpl 
graphics_toolkit ('fltk')
pdemesh (T.p, T.e, T.t);
view (2)
axis tight
axis equal

The output should look something like this

Octave meshed.png

Questions? Ideas? Join us in the mailing list or in the #octave IRC channel.

From piece-wise polynomial shapes to polygons

See also