3D Bootcamp

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3D BOOTCAMP: Get 3D Data + Python Skills for R&D in 2-days

The 3D Bootcamp offers a hands-on experience to kickstart 3D data science, equipping participants with the complete skillset to tackle real-world challenges and drive innovation in cutting-edge fields.

3D Bootcamp | VENUE DETAILS

When

16 + 17 January 2025 (Thursday + Fiday)

Where

Virtual Event (Online, MS Teams)

Who

Florent Poux

3D Topics Overview

No Prerequisites are needed. Just a curious mind.

3D Bootcamp | CONTEXT

In 2024, there was a massive rise in 3D Spatial Intelligence R&D that uses Artificial Intelligence (AI) and Computer Science (Vision, Graphics) to understand and process 3D Spatial Data.

This growth is fueled by a large need for Digital twins, new AI-powered insights, and AR / VR experiences leveraging 3D scanning technology.

But how can we, as individuals and businesses, harness the power of 3D Spatial Intelligence to gain a competitive edge and drive innovation? How can we leverage cutting-edge techniques to create immersive 3D experiences, automate complex tasks, and make data-driven decisions?

3D Bootcamp Results

The 3D Bootcamp equips you with the starter-pack skills and knowledge to harness this power. By diving deep into 3D data processing, visualization, and machine learning, you’ll be able to tackle real-world challenges, from automated 3D modelling to 3D Scene Understanding.

After completing the bootcamp, you’ll be able to build a wide range of 3D applications, such as 3D reconstruction pipelines, digital reality experiences, 3D object detection and intelligent systems.

In today’s data-driven world, the ability to work with 3D data is becoming increasingly important.

For Who?

This 3D Bootcamp is a hands-on learning experience that empowers students, surveyors, GIS Specialists, engineers, researchers to master the fundamentals of 3D data science. It is for anyone curious about working with 3D data. It assumes very little and you’ll find value, even without any understanding of Python programming and little familiarity with fundamental data science concepts.

Whether you’re a student, data scientist, engineer, or creative professional, this 3D Bootcamp can open up new opportunities and propels your career to new heights.

3D Bootcamp | FOCUS

In this first-ever 3D Bootcamp, we explore 3D data science with Python, building 3D workflows and wielding Python to implement solutions. You will learn:

The core concepts and representations of 3D data (meshes, point clouds, voxels, CAD)
How to load, manipulate, and visualize 3D data using powerful Python libraries
Advanced techniques for 3D pattern recognition (supervised and unsupervised)
How to generate 3D datasets and leverage 3D automated modeling workflows
Practical 3D applications in areas like computer vision / graphics, geospatial intelligence, robotics, and autonomous driving.

Event | Program

Session 1: 3D Code and Data Setup

Thursday, 16.01.2025 @ 3 pm CET

Introduction to 3D Data Science: A brief overview of the field, its applications, and its importance.
2025 Tech Roadmap: A roadmap to develop your career, your team, and your innovations in 2025 based on current 3D market analytics. Focus on 3D GeoData* applications and industries.
Setting up the 3D Environment: A step-by-step guide to setting up a Python environment for 3D data science, including installing essential libraries like NumPy, SciPy, OpenCV, and PyTorch.
Working with 3D Data Formats: Understanding common 3D data formats like point clouds, meshes, and voxel grids.
Loading and Visualizing 3D Data: Hands-on experience with loading and visualizing 3D data using Python libraries.

Session 2: 3D Reconstruction

Thursday, 16.01.2025 @ 5 pm CET

3D Reconstruction Fundamentals: From data points to 3D data representation and structuration.
3D Reconstruction from 2D Images: Exploring techniques like Structure from Motion (SfM) and Multi-View Stereo (MVS) to reconstruct 3D scenes from multiple images.
3D Reconstruction from Single Images: Utilizing deep learning techniques to infer 3D structure from single images.
Photogrammetry, NERFs, and Gaussian Splatting: Use cases and examples of these solutions.

Session 3: 3D Data Processing

Friday, 17.01.2025 @ 10 am CET

Point Cloud Processing: Techniques for filtering, smoothing, and segmenting point clouds.
Mesh Processing: Operations like simplification, repair, and feature extraction for 3D meshes.
Voxel-Based Processing: Working with volumetric data for tasks like 3D segmentation and classification.
3D Feature Extraction: Exploring techniques to extract meaningful features from 3D data, such as shape descriptors and geometric signatures.

Session 4: 3D Machine Learning

Friday, 17.01.2025 @ 12 am CET

3D Machine Learning Fundamentals: Understanding the core principles of 3D Machine Learning.
Unsupervised Learning Applications: Applying unsupervised learning techniques to 3D data like DBSCAN, K-Means or Region Growing.
Supervised Learning Applications: Applying supervised learning techniques to 3D data for 3D Semantic Segmentation.
3D Deep Learning Introduction: A glimpse into the power of 3D Deep Learning, and latest technologies.

By the end of this intensive boot camp, you will have a solid foundation in 3D data science and a clear action plan for applying these techniques to real-world projects and driving innovation in various fields.

* Geographics, Geomatics, Geometry, Geospatial, GeoVirtual, GeoSciences, GeoVision, GeoAI, GeoInformation …

3D Bootcamp | PERKS 🎁