Full Matrix
HI! MY NAME IS
My Story
I earned my PhD in Applied Mathematics in 2011, specializing in Computer Vision. Since then, I have pursued research in this field at esteemed institutions like the Technion - Israel Institute of Technology, Italian Institute of Technology, and Cambridge University. My primary research focus was on extracting precise 3D geometry from images, utilizing active light systems such as Photometric Stereo and traditional triangulation methods based on multi-view geometry. Subsequently, my research direction shifted towards application-driven projects. I worked at Toshiba Europe's Cambridge Research Laboratory and the High-Performance Vision Systems at the Austrian Institute of Technology, developing vision-based systems for quality control inspection technologies. Currently, at FullMatrix, I contribute to the development of non-contact inspection systems. My role involves analysing data from sophisticated ultrasound signal generation and propagation techniques.
Out of office
I have a passion for various camera-related activities, with photography and FPV drone piloting being my primary interests. In the realm of performing arts, I am drawn to music, appreciating both classical and pop genres, and I also have a keen interest in movies. Additionally, I am enthusiastic about keeping up with the latest developments in science and technology. I enjoy delving deep into these topics to gain a comprehensive understanding of their underlying principles.
Selected publications
Title | Authors | Publication/Event | Year |
---|---|---|---|
Real-time 6-DOF Pose Estimation by an Event Based Camera using Active LED Markers | G. Ebmer, A. Loch, M. N. Vu, R. Mecca, G. Haessing, C. Hartl-Nesic, M. Vincze, A. Kugi | Winter Conference on Applications of Computer Vision | 2024 |
Photometric visibility matrix for the automatic selection of optimal viewpoints | V. Staderini, R. Mecca, T. Gluck, P. Schneider, A. Kugi | International Conference on 3D Vision | 2024 |
Surface Sampling for Optimal Viewpoints Generation | V. Staderini, T. Gluck, P. Schneider, R. Mecca, A. Kugi | International Conference of Pattern Recognition Systems | 2023 |
Spatial Resolution Metric for optimal viewpoints | V. Staderini, T. Gluck, P. Schneider, R. Mecca, A. Kugi | International Conference of Vision System | 2023 |
A CNN Based Approach for the Point-Light Photometric Stereo Problem | F. Logothetis, R. Mecca, I. Budvytis, , R. Cipolla | International Journal of Computer Vision | 2023 |
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors | S. Morad, S. Liwicki, R. Kortvelesy, R. Mecca and A. Prorok | Learning for Dynamics and Control | 2022 |
LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo | R. Mecca, F. Logothetis, I. Budvytis, R. Cipolla | British Machine Vision Conference | 2021 |
PX-NET: Simple, Efficient Pixel-Wise Training of Photometric Stereo Networks | F. Logothetis, I. Budvytis, R. Mecca, R. Cipolla | International Conference on Computer Vision | 2021 |
Embodied Visual Navigation with
Automatic Curriculum Learning in Real Environments | S.D. Morad, R. Mecca, R.P.K. Poudel, S. Liwicki, R. Cipolla | IEEE Robotics and Automation | 2021 |
A CNN Based Approach for the Near-Field Photometric Stereo Problem | F. Logothetis, I. Budvytis, R. Mecca, R. Cipolla | British Machine Vision Conference | 2020 |
A Differential Volumetric Approach to Multi-View Photometric Stereo | F. Logothetis, R. Mecca, R. Cipolla | International Conference on Computer Vision | 2019 |
A Differential Approach to Shape from Polarisation: a Level-Set Characterisation | F. Logothetis, R. Mecca, F. Sgallari and R. Cipolla | International Journal of Computer Vision | 2019 |
A Differential Approach to Shape from Polarisation | R. Mecca, F. Logothetis and R. Cipolla | British Machine Vision Conference | 2017 |
Photometric Stereo with Only Two Images: A Theoretical Study and Numerical Resolution | Y. Quèau, R. Mecca, J.D. Durou, X. Descombes | Image and Vision Computing | 2017 |
Semi-calibrated Near Field Photometric Stereo | F. Logothetis, R. Mecca and R. Cipolla | Conference on Computer Vision and Pattern Recognition | 2017 |
Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach | Y. Quèau, R. Mecca and J.D. Durou | Conference on Computer Vision and Pattern Recognition | 2016 |
Near-Field Photometric Stereo in Ambient Light | F. Logothetis, R. Mecca, Y. Quèau and R. Cipolla | British Machine Vision Conference | 2016 |
A Single Lobe Photometric Stereo Approach for Heterogeneous Material | R. Mecca, Y. Quèau, F. Logothetis and R. Cipolla | SIAM Journal on Imaging Sciences | 2016 |