We develop an artificial visual cortex providing high-level contextual understanding of its surroundings in unstructured and unknown environments. Our technology enables new possibilities in the robotics field such as full autonomy, complex world representation and the understanding of objects physical properties.

As engineering consultants, we build computer vision systems and machine learning algorithms for ours customers.As independant researchers, we use coolest innovations in machine-learning / robotics / vision fields to solve real world problems.Expert in :► Computer Vision► Attitude and Position estimation : AHRS, Kalman, ► Multiple view geometry : 3D reconstruction, Bundle Adjustment, Epipolar geometry► Machine Learning : DeepLearning, "Differential programming", Presently, we explore : ► Geometric enhanced deepLearning : DeepStereo, Deep Optical and Scene Flow► Indoor inertial enhanced Localization and mapping : SLAM, Kalman, Techs : Tensorflow, Scikit-Learn, Python, OpenCV, Python, Maths!

"Recalage de groupes d’images médicales 3D par extraction de points d’intérêt"► Non-rigid 3D Images registration► Big Data► Interest point : custom Local Feature Detector & Descriptor► Splines, Stochastic Gradient Descent, Global Optimization (like Bundle Adjustment)► Computationnal geometry► Medical imaging

Création d'un système d'extraction et d'analyse de masse de données médicales► 3D Rigid groupwise registration► Laplacian graph optimization► Interest point : 3D generalization of SURF and optimization► Big Data

I was responsible of the embedded Computer Vision systems for building an autonomous AR/VR headset.This is what I did to achieve challenge of Augmented Reality / Virtual Reality : ► Markerless Localisation and Mapping (SLAM)► Bundle Adjustment► Kalman Filter► Sensors fusion between vision and (patented) magneto-inertial,