Point Cloud Processor Studio

997,00

Point Cloud Processor is a premium hands-on formation 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 to create automatic processing workflows. It offers the possibility to immediately integrate top-tier skills in your personal or professional career.

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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.

It is a studio license that permits companies to enrol up to 3 of their employees.

Point Cloud Basics

How to start processing point cloud datasets from different sensors (LiDAR, Laser Scanner, Photogrammetry, …)

Point Cloud Engineering

Create advanced feature extraction and registration routines

Point Cloud Semantization

Develop a pure semi-automatic segmentation procedure followed by classification using Machine Learning

Point Cloud Analysis and Visualisation

Create robust qualitative and quantitative quality reports supported by unique 2D/3D visualisations

Point Cloud Data Structure and Modelling

Apprehend 3D data structures (Octree, kd-tree) to accelerate processing and for 3D Modelling

3D Python automation

Put all 5 concepts together to create endless automatic procedures for advanced point cloud processing