point-cloud-ssim

This repository contains a python implementation of the point cloud structural similarity metric from the paper:

Alexiou, E., & Ebrahimi, T. (2020). Towards a Point Cloud Structural Similarity Metric. 2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020, 1–6. https://doi.org/10.1109/ICMEW46912.2020.9106005

The implementation is based on the Matlab implementation disclosed in the same paper.

Install environment

Assumes poetry is installed.

cd point-cloud-ssim
poetry install

Calculate the structural similarity score between two point clouds

python main.py --pcA [filepath_stl_file_A] --pcB [filepath_stl_pcB]

For additional options please check the argument description in main.py. This script performs alignment of the two point clouds using pcA as the target.