Skip to content

Latest commit

 

History

History
9 lines (6 loc) · 984 Bytes

README.md

File metadata and controls

9 lines (6 loc) · 984 Bytes

Assessing the Practical Applicability of Neural-Based Point Clouds Registration Algorithms: A Comparative Analysis

This repository collects the results and utilities related to our work Assessing the Practical Applicability of Neural-Based Point Clouds Registration Algorithms: A Comparative Analysis

This work compares different neural network-based algorithms for point clouds registration on our Point Clouds Registraion Benchmark. The results of the registration problems can be found in the results folder, divided by algorithm used. In each leaf folder, a file with the _config.json suffix can be found, stating the parameters used for the registration.

The full instructions to reproduce the experiments can be found in the wiki of this repository.