This is the MATLAB implementation of "Chordal Decomposition for Spectral Coarsening" by Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson and David I.W. Levin. The only dependency is the gptoolbox: https://github.com/alecjacobson/gptoolbox.
This repository contains several demos:
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main_specCoarse.m: demo for comparison with [Liu et al. 2019] on spectral coarsening of cotangent Laplacian
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main_qslim_cotan.m: demo for optimizing cotangent laplacian starting from the coarsened Laplacian of [Garland & Heckbert 1997]
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main_vol2surf.m: demo for volume-to-surface approximation of the Laplacian
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main_qslim_anisotropic.m: demo for optimizing anisotropic Laplacian starting from the coarsened Laplacian of [Garland & Heckbert 1997]
This program has been tested on MATLAB R2019b and R2020a. If you have any questions, please contact Honglin Chen ([email protected]).
@article{Chen:ChordalSpecCoarsen:2020,
title = {Chordal Decomposition for Spectral Coarsening},
author = {Honglin Chen and Hsueh-Ti Derek Liu and Alec Jacobson and David I.W. Levin},
year = {2020},
issue_date = {December 2020},
publisher = {Association for Computing Machinery},
volume = {39},
number = {6},
issn = {0730-0301},
journal = {ACM Trans. Graph.},
}