An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
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Updated
Sep 10, 2025 - C++
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
A package to compute medical segmentation metrics.
Compute one-side Hausdorff distance between triangle meshes with error bound.
A Toolbox For Polytopic Objects, Operations, and Containment Problems
Parallel search algorithm for finding the closest object in a collection of polygonal models based on Hausdorff Distance with implementation using MPI in Python
A way to analyse how malware and/or goodware samples vary from each other using Shannon Entropy, Hausdorff Distance and Jaro-Winkler Distance
A One-Shot Learning Handwritten Character Classifier using Bayesian Program Learning.
Calculates the Hausdorff Distance, between two sets of points, P and Q (which could be two trajectories or Shape Boundaries).
Pancreas segmentation in 3D Magnetic Resonance Imaging (MRI) data of different modalities.
[Research Article] AI-powered printability evaluation framework for 3D bioprinting using Hausdorff distance metrics
Conveniently compute the Hausdorff distance to evaluate set or segmentations metrics.
A medical image kit for segmentation metrics evaluation
Evaluate similarity between two point clouds : Chamfer distance, RMSE, F-score, Hausdorff
Lightweight SegFormer3D-inspired 3D Transformer for right-ventricle segmentation in cardiac MRI (evaluated on the public M&Ms-2 multi-center, multi-view dataset).
Polygon and line segment comparison toolkit. IoU, PoLiS (Polygon and Line Segments), Hausdorff distance, perpendicular distance, angular difference, and R-tree indexed bulk matching.
Brain tumor MRI segmentation pipeline with epistemic uncertainty quantification, Platt calibration, and multi-model ensemble fusion. Research software for reproducible medical imaging.
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