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Matlab geometry toolbox for 2D/3D geometric computing

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MatGeom

MATLAB geometry processing library in 2D/3D.

DOI

MatGeom is a library for geometry processing / geometric computing with MATLAB in 2D and 3D. MatGeom is a “function-based” library: it contains several hundreds of functions for the creation, manipulation and display of 2D and 3D shapes such as point sets, lines, ellipses, polygons, 3D polygonal meshes, ... The official homepage for the project is http://github.com/mattools/matGeom.

A user manual containing a large number of illustrations and examples is available. Starting from February 2022, the HTML pages of the functions (obtained with m2html) are available here.

The MatGeom library corresponds to the concatenation of the "geom2d" and "geom3d" libraries that were distributed on the FileExchange. Distribution as a single library greatly facilitates the interoperability of the functions.

If you use matGeom, you might cite it as follows:

David Legland et al. (2024) "MatGeom library for geometric computing with MATLAB" DOI: 10.5281/zenodo.5768192

Package organization

The library is organized into several modules:

  • geom2d - General functions in Euclidean plane
  • polygons2d - Functions operating on polygons and polylines represented as list of vertices
  • graphs - Manipulation of geometric graphs
  • geom3d - General functions in 3D Euclidean space
  • meshes3d - Manipulation of 3D polygonal meshes (trimesh, quadmesh, or more generic meshes)

Quick overview

Basic functionalities comprise creation of simple geometries such as points, lines, ellipses... A simple example is provided with the following script.

% load data
iris = load('fisheriris');
pts = iris.meas(:, [3 1]);
% display
figure; axis equal; hold on; axis([0 8 3 9]);
drawPoint(pts, 'bx');
% Fit line
line = fitLine(pts);
drawLine(line, 'color', 'k', 'linewidth', 2);
% Draw oriented box of whole data set
obox = orientedBox(pts);
drawOrientedBox(obox, 'color', 'k', 'linewidth', 1);
% identifiy species index
[labels, ~, inds]= unique(iris.species);
% for ech species, compute equivalent ellipse and display with axes
colors = [1 0 0; 0 0.8 0; 0 0 1];
for i = 1:3
    pts_i = pts(inds == i, :);
    drawPoint(pts_i, 'marker', 'x', 'color', colors(i,:), 'linewidth', 2);
    elli = equivalentEllipse(pts_i);
    drawEllipse(elli, 'color', colors(i,:), 'linewidth', 2)
    drawEllipseAxes(elli, 'color', colors(i,:), 'linewidth', 2)
end

Computation of equivalent ellipses, oriented box, and fitting line from set of points

It is possible to work with more complex shapes such as polygonal lines ("polylines") or polygons. Common operations comprise smoothing, simplification (retaining only a selection of vertices), computation of convex hull or of intersections with other geometric primitives. A summary of typical operations in presented in the following script.

% read polygon data as a numeric N-by-2 array
poly = load('leaf_poly.txt');

% display the polygon using basic color option
figure; axis equal; hold on; axis([0 600 0 400]);
drawPolygon(poly, 'k');

% Bounding box of the polygon
poly_bnd = boundingBox(poly);
drawBox(poly_bnd, 'k');

% computes convex hull of polygon vertices
poly_hull = convexHull(poly);
drawPolygon(poly_hull, 'LineWidth', 2, 'Color', 'k');

% applies smoothing to the original polygon.
poly_smooth = smoothPolygon(poly, 51);
drawPolygon(poly_smooth, 'color', 'b', 'linewidth', 2);

% Computes a simplified version of the polygon
poly_simpl = simplifyPolygon(poly, 20);
drawPolygon(poly_simpl, 'color', 'r', 'linewidth', 2);
drawVertices(poly_simpl, 'Color', 'k', 'Marker', 's', 'MarkerFaceColor', 'w');

% compute intersections with an arbitrary line
line = createLine([0 250], [600 350]);
drawLine(line, 'k');
inters = intersectLinePolygon(line, poly_simpl);
drawPoint(inters, 'Color', 'r', 'Marker', 'o', 'MarkerFaceColor', 'w', 'linewidth', 2);

Summary of polygon processing operations: smoothing, simplification, convex hull, intersection with lines.

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