Hi everyone,

I’m looking for a suitable 3D point cloud dataset — or a CAD/mesh dataset from which I can sample point clouds — for a small research/report project.

The goal is to compare Topological Data Analysis (TDA) as a preprocessing / feature extraction method against more standard 3D point cloud preprocessing methods, under different perturbations such as:

Gaussian jitter / noise

random point deletion / subsampling

small deformations

scaling / rotations

outliers or other synthetic corruptions

The comparison would be based on the classification accuracy of a downstream model after preprocessing.

I do not necessarily need many classes. Even a binary classification dataset would be enough.…