This package contains MATLAB and C++ Mex code to build the preconditioner described in the following paper:
Efficient Preconditioning of Laplacian Matrices for Computer Graphics, Dilip Krishnan, Raanan Fattal and Rick Szeliski, SIGGRAPH 2013
(c) 2013: Dilip Krishnan, Raanan Fattal and Rick Szeliski.
Please send any bug reports, questions or comments to: [email protected]
- If you have a ZIP file, unzip the package into a directory; or
- You can clone from the Git repository: github.com/dilipkay/hsc
- Run MATLAB and cd into the created directory.
- To build various Mex executables: build_mex
The preconditioner provided in this package works mainly with M-matrices, which are Laplacians with non-positive off-diagonal elements. It is always assumed that your matrix is symmetric positive semi-definite (this is not checked in the code for performance reasons).
Matrices which are very close to being M-matrices, with only a few non-negative off-diagonal elements, may be handlded by dropping the non-negative off-diagonals and adjusting the diagonals appropriately. This can be used for cotangent Laplacians.
If you have a Laplacian L which is an M-matrix (e.g. a graph Laplacian), and a right hand side b, then to use the preconditioner with Preconditioned Conjugate Gradient, do the following:
hsc_fun = hsc_setup(L);
and then use in PCG as:
x = pcg(L, b, tolerance, max_iter, hsc_fun, []);
demo2D.m and demo3D.m provide examples of how to use the solver to solve a 2D colorization and 3D mesh processing problem, respectively.
The core functions that set up the HSC hierarchy are: hsc_setup and hsc_hierarchy. The parameters of the hierarchy construction are specified in hsc_setup.m. These may be modified, for example by adding more smoothing iterations at every level of the hierarchy. At present, only V-cycle smoothing is supported.
Note that in the example demo_3D.m we show how cotangent Laplacians may be handled by our solver.
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data/: Contains example Laplacians and right hand sides.
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laplacians/: Helper functions to setup cotangent Laplacians given a OFF or PLY file.
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graph_toolbox: Contains Gabriel Peyre's graph manipulation toolbox, with functions for reading in OFF and PLY files and manipulation of meshes.
Yiannis Koutis for Combinatorial Multigrid. Gabriel Peyre for mesh manipulation toolbox.