Point Cloud Advanced Processing
Premium Formation to learn 3D automation fundamentals, immediately applied through a fully-fledge open-source workflow.
- 9+ hours of exclusive video formation in 5+1 bonus modules
- Full expert point cloud processing workflow
- Pass All-Included: Supporting tutorials (.pdf), articles (.pdf), Software, Python Scripts, Colab Notebooks, Datasets ...
- Engineered & certifiable by recognized University teacher
- 3 Bonus skills on 3D Automation programming with Python
- Lifetime access including future upgrades & upgrades
- Private forum for members only and mentoring possibilities
“An investment in knowledge pays the best interest” – B. Franklin
Highway to expert
To be recognized and master advanced technology, there is no faster way that learning from professionals
Condensed know-how
With years of R&D, benefit from engineered courses designed for time-efficient learning with massive ROI
Accessible Premium
Premium should not be accessible only to the wealthy, but to the willing minds that take action.
5 perks of Point Cloud Processor Formation
Online Formation System Management
The "Point Cloud Processor" program comes with the best-in-class online learning platform. Learn wherever you want (mobile/desktop), at your own pace, and easily monitor your progress on becoming a point cloud expert. You get a flexible learning access to explore more than 40 specialized topics over 5 main modules and 1 Bonus filled with additional lecture materials.
All-inclusive Premium Content
To prevent countless hours of web-browsing, I provide everything that is needed at the right moment. This means the formation includes additional knowledge and tutorials to extend your skills with automation possibilities. Videos are complemented by lectures, articles and tutorials (.pdf), datasets (point clouds, meshes), Scripts (Python, HTML, WebGL) & Open-Source Software.
Immediate access to high-value bonuses
The formation includes a number of private techniques little known but highly appreciated by experts (bonuses are worth more than 800€). These include tutorials and 2+ hours of a 3D Python formation to automate deeply 3D processing. The code is provided and permits to automate point cloud pre-processing, feature extraction, registration, segmentation and 3D modelling.
Professional Support included & Private Club
As a member of the formation, you have access to our private group to interact with other like-minded entrepreneurs. The community is active, and a place to create strong professional bonds. On top, you have access to direct mail support and you can create group threads to make sure you are rightly supported in your endeavour, keeping this human link all along the formation.
Lifetime access and regular updates
You have unlimited lifetime access to the formation for stress-free learning. I continuously improve the formation, so make sure to come back regularly to benefit from the latest tips and tricks that you can use in your day-to-day activities. [The next course update will include QGIS Point Cloud Processing].
Point Cloud Processor: A small peak
Syllabus
Main objectives
- Master the context of point cloud datasets (platforms, domains, software)
- Develop ETL (Edit Transform Load) for various point cloud file formats (ASCII and BINARY)
- Learn how to switch between 3D data representations (Mesh, Point Cloud, Volumetric)
- Create a full data pre-processing workflow (incl. sampling strategies, data cleaning, transformation and reduction)
Additional content and resources
- Access to Point Cloud Datasets (folder)
- Access to Mesh Datasets (folder)
- Access to CloudCompare projects (folder, .bin)
- Article on 3D Data Representation (.pdf)
Main objectives
- Derive valuable information from point cloud datasets
- Develop various neighborhood selection methods for optimal local/global description
- Apply PCA to extract meaaningful features for point cloud analysis
- Master the creation of point normals and their typology
- Select feature sets for specific applications (analysis vs classification)
- Master coarse-to-fine registration methodologies
- Increase your focus on the ICP (Iterative Closest Point) algorithm
Additional content and resources
- Point Cloud Datasets (folder)
- CloudCompare projects (folder, .bin)
- Coarse registration methodologies (.pdf)
- Fine registration methodologies (.pdf)
Main objectives
- Learn and apply several segmentation workflows (+ Euclidean Clulstering)
- Engineer new distinctive features (E.g. Difference of Normals)
- Develop a Classification (i.e. Semantic segmentation) evaluation and deployement system
- Apply best-in-class Machine Learning classifiers for point-based or object-based classification
- Fast initation to Python and Google Colab scripting
Additional content and resources
- Point Cloud Datasets (folder)
- CloudCompare Projects (folder, .bin)
- Access to Google Colab Machine Learning Classification (.ipy)
- Article scientifique: Self-Learning (.pdf)
- Article scientifique: Semantic-segmentation (.pdf)
Main objectives
- Apply 3 point cloud comparison strategies: Cloud-to-cloud, Cloud-to-mesh, Cloud-to-HF
- Put a control system in place to produce robust quality reports
- Learn and apply the fundamentals of statistical analysis to describe the produced graphics
- Create stunning 3D renderings (video and still)
- Deliver point cloud as a product through produced 3D desktop and/or web applications
Additional content and resources
- Point Cloud Datasets (folder)
- CloudCompare Projects (folder, .bin)
- Tutorial: Potree Web and Desktop (update rolling)
- Tutorial: Setting up web servers (update rolling)
Main objectives
- Create and use 3D Data structures (kd-tree, octree, voxels, …)
- Parse point cloud data set in specific structures for efficient point cloud processing
- Learn & Apply 3 different meshing approaches (Ball-pivoting, Poisson, Delaunay)
- Optimize point cloud to mesh workflows (tri-count, topology …)
Additional content and resources
- Point Cloud Datasets (folder)
- Meshes Datasets (folder)
- CloudCompare Projects (folder, .bin)
- Article on 3D data representations (.pdf)
- Tutorial: How to use MeshLab Software
- Article on 3D point cloud modelling (.pdf)
Main objectives
- Learn and Code with Python for 3D Data
- Combine Python with the Command Line to access advanced CloudCompare functionnalities
- Develop a modular program that can address the 5 key processing steps of point cloud data
- Deploy a program to automatically generate 3D meshes from massive point cloud data
Additional content and resources
- Article: Discover 3D Point Cloud Processing with Python (.pdf)
- Article: Generate 3D Meshes with Python (.pdf)
- Article: Generate 3D Meshes with Python (.pdf)
- Tutorial: Anaconda software and python environment
Get the best from Academia & Industry
While I love teaching at the University and seeing my student learn and apply new concepts, for some part, it can be a bit too theoretical, and students can lose the focus needed to develop a specific set of skills. Moreover, accessing the desired knowledge can be confronted to difficulties such as “you are a company => non-eligible”; “you need 20,000 $ for your first year”; “you need to validate all exams to earn a diploma” … I dedicate myself to make sure you avoid all of these brakes and getting the best-in-class Formation.
If you are on the path of Entrepreneurship, you are on the quest of creating value for others. Through this program, you will find the fastest way to bring value to others and get paid for it, by mastering point cloud processing. Remember that our income depends on the value we bring to the world. The more you help others, the more you get paid for that value.
A portion of 3D Reconstructor’s profits will be donated to young companies that want to grow, and to 3D researchers that need funding to deliver the next big thing. You will therefore participate directly in the success of others.
- Industry: Former Land Surveyor & General Manager of Geovast 3D
- Academia: MSc. of Engineering, PhD of Sciences, Ad. Prof of 3D GeoData
- Research: Award-winning Point Cloud, Reality Capture, AI advances
In brief
Who?
You only need to be eager to develop a very useful set of skills, with a focus on automation. The program is time-efficient, but demands motivated individuals.
What?
The Point Cloud Processor program will offer you the top 1% of tips that really work to quickly create advanced automation workflows, without any software investment.
How?
Point Cloud Processor is a gas pedal, but it is still a step-by-step enrichment process. You're taken through a structured formation that makes everything easy and efficient.
Beyond?
Scale your practice and get started with full 3D automation. You can optionnally book a private session or a mentorship program for a very advanced training.
Select the best fit
497€
Direct access (individual)
- 40+ videos
- 5 detailed modules & Activities
- Pdf Guides, Excel sheets & more
- Private membership club
- Bonus content and videos
- Free upgrades + mail support
- Lifetime access
597€
Direct access (Individual)
- 40+ videos
- 5 detailed modules & Activities
- Pdf Guides, Excel sheets & more
- Private membership club
- Bonus content and videos
- Free upgrades + mail support
- Lifetime access
997€
Direct access (Studio/Company)
- 40+ videos
- 5 detailed modules & Activities
- Pdf Guides, Excel sheets & more
- Private membership club
- Bonus content and videos
- Free upgrades + mail support
- Lifetime access
What happens upon subscription?
The complete training represents more than 9 hours of explanatory video. At the beginning of each module, you will have a short theoretical part in order to start from scratch. Then the rest of the entire training will include actions to be implemented immediately to get results.
The advantage with online training is that you can access all the videos without having to go anywhere, from the comfort of your own home.
Florent offers individual online coaching, with single or multiple sessions. This is why it is financially advantageous to follow our online programs.
Whether it is for the structure of our advice in a condensed and precise way, the discount on the price, the unlimited access that allows you to come back at any time to each of the videos, it is more advantageous to train remotely.
If upon completion of the course, you believe you did not got any added value, I will make sure you are fully refunded.
