Beginner once. Expert a lifetime.
3D automation - Photogrammetry - Virtual Reality - Point Cloud Processing - Machine Learning & more.
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20% Theory, 80% Action
For individuals that aim for excellence and companies that need equipped minds.
3D Reconstructor
This is a premium hands-on formation providing you with focused knowledge. immediately applied through the best open-source 3D Photogrammetry workflow. Unlock a clear action plan and new 3D passive income possibilities to integrate in your personal or professional career at no software costs.
- Turn an object or a scene into a 3D asset, by capturing pictures onsite.
- Develop efficient 3D data processing and deliverables creation routines.
- Export in various formats, and add value through unique post-processing.
- Training on the best open-source software (photogrammetry, modelling).
- Develop a new income stream (VR-ready assets for 3D online store).
- Full workflow automation, buying guides (pdf), handbooks (pdf) & more
AR/VR Creator
This formation provides a step-by-step workflow to process and set-up an environment captured using Photogrammetry for VR in Unity Engine. The entire execution focuses on a high-quality scene that is developed within a realistic production schedule. You will master key components from data capture, to 3D asset reworking and integration for VR app deployment.
- Master the 3D Data Acquisition workflow dedicated to AR / VR apps
- Develop an optimized workflow for geometry retouching
- Learn the key principles of UV and texturing for renderings
- Master the VR basics and UI / UX principles for any AR / VR app
- Deploy an app on various platform and make it a business
- Get access to documented scripts that you can download (optional)
AR/VR Creator
3D Segmentor
Learn the fundamentals of Point Cloud Processing for 3D Object Detection, Segmentation and Classification. This online formation is for individuals and companies who rapidly want to increase their 3D Perception skills without spending hours browsing and figuring out how to do. Additionally, you can get direct access to working scripts and code to automate your processes.
- The 5-Steps to process point cloud data efficiently
- Insights and hands-on 3D Machine Learning
- Apply Julia and Python, the best programming language for rapid results
- Develop a 3D segmentation workflow without user supervision
- Access scripts and state-of-the-art code by direct download (optional)
Get a Private Professional Training
You can benefit an individual and privileged accompaniment by Dr.-Ing. Florent Poux. The first videocall session consists of an online one-to-one private exchange. You have the possibility to directly choose among 10+ topics from 4 categories being Reality capture (3D Photogrammetry, Laser Scanning, Drones ...), Object recognition (code, segmentation, classification), Research & Academia (writing papers, making a PhD, learning efficiently) or Productivity (time management, parallelization, focus processes).
If you want to maximize the return on time invested, the shortest path is to get a direct and custom program & accompaniement that will unlock the desired set of skills.
Sometime, the best way toward your objective is to simply exchange with the people that already accomplished what you set yourself up to do. Cut to the essential, and avoid hours of searching the internet for vague answers.
Coaching, mentoring, teaching… The term points toward the same thing: Looking to have a trusted and close expert that give you a receipe for success. The next steps is to cook your desired outcome from it.
Florent Poux has been at the forefront of automation in Reality Capture for more than 10 years. He holds an award-winning PhD in Sciences, and is recognized as an outstanding researcher through the ISPRS Jack Dangermond 2019 award. He bridges high-level research & knowledge transmission as an adjunct professor in 3D Geodata (University of Liege), a mentor in Data Sciences & Machine Learning (OpenClassrooms) as well as a 3D consultant (Geovast 3D).
He supervised dozens of Ph.D, M.Sc. and Bachelor thesis and helped developing the career of hundreds of young Geodata experts, surveyors and data scientists.
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