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Your host: Florent Poux

Florent Poux 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. He holds an award-winning Ph.D. in Sciences, and an Engineering MS.c. from the CNAM. He has been at the forefront of automation in Reality Capture for more than 10 years and is a researcher decorated by the ISPRS Jack Dangermond 2019 award.

During his young academic and scientific career, he has given dozens of tech talks, served on the scientific & program committee of several international conferences, and assisted as an editor & reviewer for leading international GIS and Automation journals.

His activities aim at transmitting knowledge and solving automation problematics, through various forms of communication and developments. Florent Poux relies on his expertise and a close group of skilled collaborators that share a vision of global cooperation toward the advancement of technological science for a better society.


Latest articles

  • Free LiDAR datasets for self-driving cars AI applications
    Scale AI releases a new open-source dataset for both academic and commercial use, and accelerate the growth of Autonomous Driving research. For self-driving car applications, we most often avoid explicitly programming machine learning algorithms on how to make decisions, but instead we feed deep learning (DL) models with labeled data to learn from. Indeed, DL… Read More »Point Cloud Lab
  • How to represent 3D Data?
    A visual guide to help choose data representations among 3D point clouds, meshes, parametric models, depth-maps, RGB-D, multi-view images, voxels… The 3D datasets in our computerized ecosystem — of which an increasing number comes directly from reality capture devices — are found in different forms that vary in both the structure and the properties. Interestingly,… Read More »Point Cloud Lab
  • 5-Step Guide to generate 3D meshes from point clouds with Python
    In this article, I will give you my 3D surface reconstruction process for quickly creating a mesh from point clouds with python. You will be able to export, visualize and integrate results into your favorite 3D software, without any coding experience. Additionally, I will provide you with a simple way to generate multiple Levels of… Read More »Point Cloud Lab
  • The Future of 3D Point Clouds: a new perspective
    Discrete spatial datasets known as point clouds often lay the groundwork for decision-making applications. But can they become the next big thing? I am a big point cloud enthusiast. I first discovered their existence 10 years ago, and since then, I have been tweaking my practices through the evolution of Reality Capture to always get… Read More »Point Cloud Lab

Research topics

  • Point Cloud
  • Segmentation & Classification
  • Semantics & Graphs
  • 3D Geometry
  • Artificial Intelligence

Research Sharing Structures

Courses 2019-2020

  1. GEOG0053-1 – University of Liège – MSc
    Topography & Land Surveying
    by POUX Florent
  2. GEOG0054-1 – University of Liège – BSc
    Methods of Spatial Data Acquisition
    by POUX Florent
  3. GEOG0063-1 – University of Liège – MSc
    3D Acquisition
    by POUX Florent
  4. GEOG0064-1 – University of Liège – MSc
    3D Recognition & Understanding
    by POUX Florent
  5. GEOG0065-1 – University of Liège – MSc
    Immersive 3D Environment
    by POUX Florent


Point Cloud Lab Structure

The different projects are linked to industrial, research or academic purposes. The aim is to provide a visibility and feedback continuum from the emergence of ideas to the implementation of real-world problem-solving.


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