This is the source code and project history for the following publication
Direct Fitting of Gaussian Mixture Models by Leonid Keselman and Martial Hebert (arXiv version here)
Almost all files used in the development and testing of this project are in this folder. The data files for the Stanford Bunny is included in
mixturecontains the modifed version of scikit-learn with the proposed techniques.
gmm_fit2.pycontain the two sets of the bunny likelihood experiments
registration_test.pycontains the mesh registration (P2D) experiments
- Files with
_extraare usually just copies for non-Stanford Bunny experiments
gen_gmm_mine.ipynbgenerate GMM models from the TUM dataset, with and without uncertainty models
reg_results.ipynbperforms D2D registration between the GMM models built from the TUM dataset.