This repository contains the code for our fast polygonal building extraction from overhead images pipeline.
-
Updated
Oct 2, 2023 - Python
This repository contains the code for our fast polygonal building extraction from overhead images pipeline.
Analysis of georeferenced rasters and vectors
Python implementation of the SNIC superpixels algorithm
🧱 Library for Geometric / Solid Modelling based on 🪐 Implicit Surfaces modelling. (Feel free to submit Pull Requests)
📐Polygonization of point sets in 2d, area optimization and accuracy/speed evaluation.
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".
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.
Add a description, image, and links to the polygonization topic page so that developers can more easily learn about it.
To associate your repository with the polygonization topic, visit your repo's landing page and select "manage topics."