A tool to convert aerial LIDAR pointcloud data into solid, watertight meshes suitable for 3D printing.
Pointcloudprinter is a tool that converts aerial LIDAR pointcloud data into solid 3D meshes for printing. It processes `.xyz` files, fixes data gaps, reconstructs surfaces, and outputs watertight STL models. It solves the problem of transforming sparse geographic scan data into manufacturable physical objects.
Hobbyists, researchers, or educators working with geographic LIDAR data who want to create 3D-printed terrain models or architectural landscapes.
It automates the entire pipeline from raw pointclouds to printable meshes, eliminating manual steps in software like Blender or Meshlab. The tool is specialized for aerial LIDAR data, ensuring outputs are optimized for 3D printing with solid, watertight geometry.
Prepare pointclouds from aerial LIDAR scans for 3D printing
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The batch file script automates the entire workflow from pointcloud extraction to solid mesh creation, reducing manual steps in Meshlab and Blender as described in the 'How it works' section.
It includes a dedicated step to identify and fill gaps in pointclouds, preventing mesh reconstruction errors and ensuring cleaner outputs, based on the tool's 'fix' command in the README.
Uses Blender boolean operations to create solid, watertight STL files optimized for 3D printing, as highlighted in the 'Solid Mesh Creation' feature and usage steps.
Leverages free, widely-used software like Meshlab and Blender, making it accessible for hobbyists without expensive licenses, per the Requirements section.
The README explicitly states the project is deprecated due to unavailable datasets and broken Meshlab API, rendering it likely non-functional with current software versions.
Requires specific old versions of Meshlab (2020.03) and Blender (2.82), which may not install or run correctly on modern systems, limiting usability and security.
Only tested with .xyz files from a now-unavailable German NRW dataset, offering no support for other LIDAR formats or coordinate systems without significant manual adjustment.