Showing cs.CVShow all
2 papers · 1 filter
cs.CV2025
Noise-Robust Topology Estimation of 2D Image Data via Neural Networks and Persistent Homology
Dylan Peek, Matthew P. Skerritt, Stephan Chalup
Persistent Homology (PH) and Artificial Neural Networks (ANNs) offer contrasting approaches to inferring topological structure from data. In this study, we examine the noise robust…
cs.CV2023
Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data
Dylan Peek, Matt P. Skerritt, Stephan Chalup
This research uses deep learning to estimate the topology of manifolds represented by sparse, unordered point cloud scenes in 3D. A new labelled dataset was synthesised to train ne…