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Course description

Discrete spatial datasets known as point clouds often lay the groundwork for decision-making applications. E.g., we can use such data as a reference for autonomous cars and robot’s navigation, as a layer for floor-plan’s creation and building’s construction, as a digital asset for environment modelling and incident prediction… Applications are numerous, and potentially increasing if we consider point clouds as digital reality assets. Yet, this expansion faces technical limitations mainly from the lack of experts in point cloud processing.

This course is a condensed hands-on lecture dedicated to providing you with focused content, immediately applied through an efficient fully-fledge open-source workflow. It treats point cloud data basics, engineering, semantization, structuration, analysis, visualisation and 3D modelling. The aim is to offer you the possibility to immediately integrate what you learnt in your personal or professional career.

After completing this course, you will be able to produce advanced automatic point cloud processing workflows of your own by using free and open-source software and efficient python code blocks. The provided principles or workflow can also be extended to other paid software (Trimble, Leica Cyclone, Faro Scene, Flyvast, …). You will be able to create advanced 3D automatic modelling workflows, master the full point cloud processing pipeline and produce stunning rendering to showcase your new expertise. All resources, articles, point clouds and 3D models used on this course are shared via a folder. Step-by-step tutorials are also provided as and videos commented as a “podcast” spirit.

This course is conceived to maximize the return on time invested and provide you with possibilities to upscale what you learnt and extend your expertise through additional focused formation programs. Its conception is based on years of R&D, and new knowledge-transmission techniques to access very high focus and limited time investment.

Key concepts covered include:

Additionnal information

This course is designed for beginner to intermediate user, to show the process of creation of highly detailed 3D models with texture. No knowledge is required. You only need a computer, with some free HDD space (100+ Go), some  RAM (8 Go+) and preferably a decent dedicated GPU.

The additional materials are among the following:

  • Articles (.pdf)
  • Picture datasets (.jpeg)
  • Mesh datasets (.obj, .mtl, .jpeg, .ply, .bin)
  • Point Cloud datasets (.xyz, .las, .bin, .e57)
  • Schematics (.jpeg, .pdfs)
  • Formation Videos (online)
  • Code and scripts (online, .py, .ipy)

These are optional but highly recommended to get full coverage of the learning potential. You will find downloadable content on each module presentation page. Videos are part of the modules themselves, and either constitute a topic or complement one.

Course Content

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