3d data

A grab bag of point clouds, volumetric data and photogrammetry

February 15, 2019 — July 17, 2023

computers are awful
faster pussycat
photon choreography
Figure 1: The tiny man inside your photogrammetry software

1 Software

1.1 Neural networks

Prominent examples in Neural implicit representations.

1.2 yt

yt is an open-source, permissively-licensed python package for analyzing and visualizing volumetric data.

yt supports structured, variable-resolution meshes, unstructured meshes, and discrete or sampled data such as particles. Focused on driving physically-meaningful inquiry, yt has been applied in domains such as astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography.

1.3 OpenScad


is software for creating solid 3D CAD models. It is free software and available for Linux/UNIX, Windows and Mac OS X. Unlike most free software for creating 3D models (such as Blender) it does not focus on the artistic aspects of 3D modelling but instead on the CAD aspects Thus it might be the application you are looking for when you are planning to create 3D models of machine parts but pretty sure is not what you are looking for when you are more interested in creating computer-animated movies.

OpenSCAD is not an interactive modeller. Instead it is something like a 3D-compiler that reads in a script file that describes the object and renders the 3D model from this script file. This gives you (the designer) full control over the modelling process and enables you to easily change any step in the modelling process or make designs that are defined by configurable parameters.

OpenSCAD provides two main modelling techniques: First there is constructive solid geometry (aka CSG) and second there is extrusion of 2D outlines. Autocad DXF files can be used as the data exchange format for such 2D outlines. In addition to 2D paths for extrusion it is also possible to read design parameters from DXF files. Besides DXF files OpenSCAD can read and create 3D models in the STL and OFF file formats.)

I practice people seem to not use openscad so much as a frontend like, e.g., SolidPython, a python frontend for solid modelling that compiles to OpenSCAD.

Figure 2

1.4 Neuroglancer

neuroglancer is a WebGL-based viewer for volumetric data. It is capable of displaying arbitrary (non axis-aligned) cross-sectional views of volumetric data, as well as 3-D meshes and line-segment based models (skeletons).

1.5 Meshroom

Meshroom is a free, open-source 3D Reconstruction Software based on the AliceVision framework.

1.6 point cloud library

The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use.

Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. An additional Wiki resource for developers is available at https://github.com/PointCloudLibrary/pcl/wiki.

2 data sets

Figure 3: Aus totem Steine schaffet Leben/ Bildhauers Kunst mit sich’rer hand/ Doch leisten seine Werfe eben/ Auch Zeit un Wetter Widerstand/ Wenn alles Andre mag verschwinden/ Und Alles längst in Staub zerstob/ Das stumme Erz and Marmor künden/ Der Nachwelt laut des Mesters Lob

3 References

Deitke, Schwenk, Salvador, et al. 2022. Objaverse: A Universe of Annotated 3D Objects.”
Jessell, Guo, Li, et al. 2022. Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications.” Earth System Science Data.
Qi, Su, Mo, et al. 2017. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.”
Rusu, and Cousins. 2011. 3D Is Here: Point Cloud Library (PCL).” In IEEE International Conference on Robotics and Automation (ICRA).