This repository contains the code for our fast polygonal building extraction from overhead images pipeline.
Analysis of georeferenced rasters, vectors and point clouds
Python implementation of the SNIC superpixels algorithm
LiDAR processing ROS2. Segmentation: "Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process". Clustering: "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance".
🧱 World leading open-source geometry engine in context of Implicit Surface Modelling, featuring sharp edges: Library for Geometric / Solid Modelling mesh generation slicing, and more, based on 🪐 Implicit Surfaces modelling. (Feel free to submit Pull Requests)
📐Polygonization of point sets in 2d, area optimization and accuracy/speed evaluation.
A MATLAB-based app designed to transform EBSD grain data into polygonal representations.
📐 Polygonization using CGAL
Genetic hill climbing algorithm that renders a given picture using polygons only.
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