Skip to content
master
Go to file
Code

README.md

direct_gmm

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)

Overview

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 bunny.

  • mixture contains the modifed version of scikit-learn with the proposed techniques.
  • gmm_fit.py and gmm_fit2.py contain the two sets of the bunny likelihood experiments
  • registration_test.py contains the mesh registration (P2D) experiments
  • Files with _extra are usually just copies for non-Stanford Bunny experiments
  • gen_gmm.ipynb and gen_gmm_mine.ipynb generate GMM models from the TUM dataset, with and without uncertainty models
  • reg_results.ipynb performs D2D registration between the GMM models built from the TUM dataset.

About

Project code for "Direct Fitting of Gaussian Mixture Models"

Topics

Resources

License

Releases

No releases published

Packages

No packages published
You can’t perform that action at this time.