This project implements the Expectation-Maximization (EM) algorithm to fit a 2D Mixture of Gaussians (MoG). It includes dynamic visualization of the algorithm's progress over iterations and can ...
Abstract: This work studies a new Expectation-Maximization (EM) algorithm for solving the 2D-3D registration problem, which consists of estimating the position and orientation of a camera using a 3D ...
A complete from-scratch implementation of Gaussian Mixture Models (GMM) using the Expectation-Maximization (EM) algorithm in Python. This implementation uses only NumPy for mathematical operations and ...
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