I joined the company as a permanent researcher in April 2007.
I started my professional career in 1993 with various activities related mainly to the data processing system of an insurance company (AXA). I obtained a Masters degree in computer science from Rouen University in 2006. In December 2005 I started working as a service provider for Thomson Corporate Research (now Technicolor Research & Innovation).
Mixed Reality, 3D Scene capture & modeling, gesture recognition, computer vision, machine learning, network protocols.
List of achievements:
I recently contributed to a "Smart Farm" application (Android) for a real Iowa based farm. The application is mixing 360 video environment with real data from local IoT sensors, alarms, weather service, and also some camera feeds showing specific location in that farm.
Before that interesting concept, i developed a mixed reality application for hololens (with local server) to show some innovative usages around extended TV.
In the past, i also developed a gesture recognition system used to control a proof-of-concept Video On Demand application. That system combines simultaneous detection of hand(s) in various postures (open hand(s), closed fist(s)), an efficient tracking process and a simple but fast gesture recognition step. I've used for that purpose my previous development of a Machine Learning environment (using boosting on Haar Features’ combination approach) : dedicated to the human face learning/detection. A related face detection client was implemented in Windows/C++. That environment was recently extended to help learning & detect other human body parts, such as eyes, open hands and closed fists, in a gesture recognition application.
A few years ago, i've done a WebTV service (server and client) using SIP/IMS network signaling : implemented in JAVA J2EE/J2SE on Windows/Linux operating systems and Windows mobiles phones.
File repair system for mobile devices in the context of wireless broadcast delivery (DVB-H) : implemented in C++ on Windows workstations and Windows Mobile 6.x phones.