Blender
Complete guide to create 3D experiences with large point clouds in Blender
In this tutorial, I want to fill a large internet gap: how to leverage one of the best 3D tools for manipulating and visualizing massive point cloud datasets.
This tool is called Blender. It allows us to address complex analytical scenarios by experimenting with different data visualization techniques. And this is precisely what brings us here together.
What is the best foundational workflow to tie down Reality Capture datasets (in the form of point clouds) with Blender’s extended Data Visualization capabilities?
🦊Florent: Reality Capture is somewhat a “new” term that can be pretty confusing, knowing some software and companies got their name from it. You can see this “discipline” as a specialized branch of “3D Mapping”, where the goal is to capture 3D Geometries from the real world with various sensors such as LiDAR or Passive Cameras (through Photogrammetry and 3D Computer Vision). You can see how we do that in this article: Guide to 3D Reconstruction with Photogrammetry
In this guide, I break down the process into nine clear steps, as illustrated below.
This will allow us to generate several Route Extraction Visualization Products, such as this one: