Valentin Lhermitte

MSc in Computer Vision and Image Processing

About Me

I am a Belgian student currently pursuing a Master of Science in Computer Vision and Image Processing at Czech Technical University in Prague. My passion lies in Computer Vision, with a particular focus on its applications in the medical field and 3D reconstruction. I am currently refining my skills in 3D Computer Vision with a focus on Camera Calibration and Structure from Motion.

Education

Skills

Databases

SQL
Redis
Neo4J
MongoDB

Programming Languages

Python
C++
C
Java

Computer Vision & AI

Machine Learning
Deep Learning
Self-supervised Learning
3D Computer Vision
Image Processing

Professional Experience

Internship at EVS Broadcast Equipment

Location: Liège, Belgium

Duration: 2023

Developed a testing framework for the Virtual Offside line accuracy of the VAR system used by FIFA. The project involved generating synthetic images of football fields and geometric data to test the VAR system's accuracy.

Technologies used: Git, C++, Python, OpenCV, Unreal Engine 5

Projects

Lens Distortion OpenGL

OpenGL-based simulation of lens distortion, featuring real-time modeling and dataset generation for camera calibration research.

Two View Scene Reconstruction

3D scene reconstruction from two images using local feature matching, epipolar geometry estimation with LO-RANSAC and triangulation.

Retina Vessel Segmentation

Retinal Vessel Sementic Segmentation with U-Net and Dice loss

Self Supervised Metric Learning

Self-Supervised learning model for blood cell images with 2 approches : Triplet loss with batch hard negative mining or Contrastive loss

Publications

Real-time Radial and Tangential Lens Distortion with OpenGL

This article delves into the intricacies of simulating lens distortion using OpenGL, focusing specifically on the radial and tangential distortion models. The real-time implementation and dataset generation techniques discussed are essential for advanced camera calibration processes.

Read on Medium