triangulation

I am a trying to use matplotlib.tri.Triangulation to generate the triangles for a matplotlibs plot_trisurf . I want to specify the triangles rather than letting the Delaunay triangulation which matplotlib.tri.Triangulation uses because it does not work for some cases such as triangles in in the xz or yz plane. I am not sure if this specifying the triangles myself will solve the problem but I seems like a good thing to try. The issue is that the triangulation requires a (n,3) array with n being the number of triangles. To quote the page on matplotlib.org "For each triangle, the indices of the

After I've done a 2D triangulation, some triangles have the same color and I want to recombine them for drawing into like-colored graphics paths. I find that if I just draw the triangles one by one, some graphic renderers shows seams between the triangles (at least if anti-aliasing and/or transparency is involved). So how do I take a set of (non-overlapping) triangles and produce a graphics path, which may contain holes and disjoint polygons? Blindly adding the triangles to a graphics path actually works pretty well for filling (though not for stroking, of course), but it doesn't feel right to

First of all let me clear .. I am not asking about 2D mesh, to determine the winding order of 2D mesh its very easy with normal-z direction. Second is, I am not asking any optimized algorithm, I do not worry about the time or speed, I just want to do it with my mesh. When I triangulate a 3D object using Greedy Projection Triangulation algorithm, This problem happens. check the attached images. If I apply 2D approaches to this model using "Calculate Signed Area" or "Cross production of AB and BC vectors of a triangle", it only solves the 2D mesh but how about a 3D mesh? First we need to check

Well for triangulation you need to have the direction from which your device is receiving the signal.We can calculate Angle of Arrival for that but calculating that angle requires an array of receivers. Is a cell phone capable of calculating Angle of Arrival? I am asking this because I have came across the terms like wifi/BLE triangulation, calculating position by triangulation etc but they're actually referring to Trilateration in most of the cases. I know how trilateration works for a mobile and all the details but I don't think Triangulation is possible. And if it is possible, how is it

I am trying to implement the (relatively simple) linear homogeneous (DLT) 3D triangulation method from Hartley & Zisserman's "Multiple View Geometry" (sec 12.2), with the aim of implementing their full, "optimal algorithm" in the future. Right now, based on this question , I'm trying to get it to work in Matlab, and will later port it into C++ and OpenCV, testing for conformity along the way. The problem is that I'm unsure how to use the data I have. I have calibrated my stereo rig, and obtained the two intrinsic camera matrices, two vectors of distortion coefficients, the rotation matrix and

I've recently encountered a need for a library or set of libraries to handle operations on 2D polygons. I need to be able to perform boolean/clipping operations (difference and union) and triangulation. So far the libraries I've found are poly2tri , CGAL , and GPC . Poly2tri looks good for triangulation but I'm still left with boolean operations, and I'm unsure about its maturity. CGAL and GPC are only free if my own project is free. My particular project isn't commercial, so I'm hesitant to pay or request for any licenses. But I may want to use my code for a future commercial project, so I'm

Trying to triangulate a set of simple 2d polygons , I've come up with this algorithm: 1) For each vertex in the polygon, compute the angle between the two linked edges 2) Sort vertices by decreasing angle relative to the interior of the polygon 3) If there is less than 3 vertices in the set, we're done 4) Take the last vertex in the set and output the triangle formed by it and its two neighbours 5) Remove the vertex from the set 6) Update the angle of the two neighbours 7) Jump to 2 I've tested it, and found it to work even on really big and complicated simple 2d polygon (it don't work for