Convex Decomposition

The Dev has concluded that decomposing complex Shapes into convex shapes, and then tessellating those as needed would be the more elegant and effective solution, so he is now working on the data structures that will be needed by a convex decomposition algorithm.

The benefits of convex decomposition vs triangulation include: fewer output shapes(because each may contain more than 3 vertices) and less likelihood of producing long, thin shapes(which tend to cause problems with physics simulations)

In addition, triangulating convex shapes is trivial and the Dev has already found a suitable paper detailing a convex decomposition algorithm.