Interesting, but I think subdividing triangles like this is unnecessary. For most cases, when one triangle completely covers the other, all that is required it to Z order the triangles. This is what mplot3d does already. The only case we have yet to handle is when one triangle "pierces" the other. As seen in the attached image. Triangle B is mostly behind triangle A, except for a small piece labeled C. All we would have to do is determine the line of intersection, then create a new triangle C. Then we just draw B first, then A, then C.
I think the hardest part is probably doing this for general polygons and handling the edges properly. But that should not be super hard. -Ben ________________________________________ From: Friedrich Romstedt [friedrichromst...@gmail.com] Sent: Saturday, February 27, 2010 11:28 AM To: matplotlib-users Subject: Re: [Matplotlib-users] mplot3d stays? http://www.friedrichromstedt.org/python/pyclip/a01.Zerteilung.pdf (It's unfortunately in german, but the graphics are self-explaining) A school mate working together with me on the project has worked that out. H = number of corners of the front triangle lying inside of the back triangle V = number of corners of the back triangle lying inside of the front triangle S = number of the collinear edges of the two triangles Z = number of intersection points of the two tringles' edges, minus the number of those occuring because of collinear edges. Red: front triangle Black: back triangle Green: subdivision lines in the back triangle. I will check my implementation in C++ today. I will maybe need some advice in making a Python module out of it. Friedrich ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
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