A joint event between the IET Vision and Imaging Network and the Knowledge Transfer Network (KTN), the Intelligent Imaging event will be taking place at IET London: Savoy Place on the 14 October 2016.
Our sixth confirmed speaker for the day is:
Miguel R.D Rodrigues, Reader, Department of Electronic and Electrical Engineering, University College London.
About Miguel:
Miguel Rodrigues is a Reader in Information Theory and Processing with the Department of Electronic and Electrical Engineering, University College London, UK, currently working in the general fields of information theory and processing with applications to the sensing, analysis and processing of high-dimensional data. He was previously with the University of Porto, Portugal, rising through the ranks from Assistant to Associate Professor, where he also headed the Information Theory and Communications Research Group at Instituto de Telecomunições−Porto.
He received the Licenciatura degree in Electrical and Computer Engineering from the University of Porto, Portugal and the Ph.D. degree in Electronic and Electrical Engineering from University College London, U.K. He has also held postdoctoral and visiting appointments with various Institutions worldwide including University College London, Cambridge University, Princeton University, and Duke University in the period 2003-2016.;
His research interests are in the general area of information theory & processing, with a focus on the sensing, analysis and processing of high-dimensional data.
Abstract:
Emerging problems across various domains – ranging from medical & biomedical sciences, engineering sciences, environmental studies and the arts & humanities – involve the analysis of multiple image modalities obtained by capturing a physical processs or object using diverse sensing modalities.
This talk introduces a new approach to multi-modal image representation, analysis and processing that leverages the fact that high-dimensional multi-modal images often exhibit low-dimensional structure and correlations. In particular, inspired by the role that sparse representations have played in image processing in the previous years, the foundations of the algorithms are novel image models based on coupled dictionary representations, which, by capturing both structure and relations between diverse image types, offer the means to develop new multi-modal image processing tools with significantly better performance than the state-of-the-art.
The efficacy of the tools is illustrated in a number of applications, covering the art-investigation domain and beyond.
Miguel's presentation will be discussing: "Multi-Modal Image Processing with Applications to Art Investigation and Beyond".
Places are filling up fast, so don't delay and register for the event at: http://www.theiet.org/intelligent-imaging and join Miguel plus many more!
#IntelligentImaging
Other speaker highlights:
Alexandru Drimbarean
Paul Jerram
Alex Knight
Robert Lamb
Owen Nicholson
Ken Primrose
Andrew Schofield
Jared Tanner
Prejaas Tewarie