Segmentation of Heritage Building Point Clouds

Development of a computer program for segmenting point clouds of old monuments.

The final program implements 2 segmentation approaches:

• A segmentation completer where a Machine Learning classifier is trained on a partially segmented part of a point cloud and used to propagate the segmentation
• A neural network model that was trained on a dataset is used to segment unlabelled point clouds

This project was developed during my internship at A-BIME in Paris and served as the core subject of my Master's thesis.