Foti Coleca

Development, optimization and tooling of machine learning algorithms for an interior monitoring solution focused on safety Project lead for a small team developing driver comfort and interior monitoring through multiple sensor fusion technology Project lead for a small team developing driver comfort functions through gesture control Development and optimization of convolutional neural networks for real-time gesture recognition

Development of a machine learning framework for improving existing hand pose estimation algorithms Development of a multi-stereo / depth sensor fusion framework for automatic labeling of depth data for use within a machine learning framework Development of camera calibration and sensor characterization tools Porting and optimization of computer vision algorithms on embedded platforms

Development of new algorithms and improvement of existing ones relating to hand and body pose estimation from 3D data, which have been patented Development of productivity tools for workflow improvement and better problem understanding

Collaboration with the neurosurgery department of Lübeck Teaching Hospital for development of a touch-less control interface for use during surgery. Development of new algorithms for processing 3D data from structured light and time-of-flight cameras.

Prepared my Master Thesis in collaboration with the R&D department. Developed a fast super resolution algorithm which increased the spatial resolution of an image using multiple exposures from a single camera. Worked within a small team (3 people) on the research and development of a high dynamic range solution for consumer cameras, which has been patented

Gesture recognition, body skeleton recognition and tracking, depth cameras. Research in gesture recognition, in cooperation with gestigon GmbH.

Digital image processing, super-resolution, high dynamic range imaging. Master's diploma done in collaboration with the R&D department of FOTONATION Bucharest.

Computer Science and Information Technology