Face recognition: from contactless shopping to advanced forensics, challenges and opportunities - Ebroul Izquierdo - Queen Mary, University of London - INGLATERRA

Presentación

Automated face recognition is one of the oldest and probably best understood tasks in computer vision. Due to the plethora of applications, it is also the basis for a fast evolving technology drawing attention from researchers and practitioners in several fields including forensics, biometrics, visual information retrieval, automated surveillance, contactless shopping and internet driven social networking. In this talk important aspects of face recognition and crucial applications will be presented. Starting with the main still open technical challenges, some important generic aspects of face recognition will be discussed. The usefulness of face recognition, as a tool with a vast range of applications and flourishing business opportunities, will be outlined. Examples of recent technological developments in two specific application scenarios will be also discussed.

Tema: Desarrollo de Aplicaciones - CONFERENCIA EN ESPAÑOL

Nivel: General

1º Speaker

EBROUL IZQUIERDO

 

QUEEN MARY, UNIVERSITY OF LONDON

Professor Ebroul Izquierdo, is Chair of Multimedia and Computer Vision and head of the Multimedia and Vision Group in the school of Electronic Engineering and Computer Science at Queen Mary, University of London. He received the Dr. Rerum Naturalium (PhD) from the Humboldt University, Berlin, Germany and he has been a senior researcher at the Heinrich-Hertz Institute for Communication Technology (HHI), Berlin, Germany, Prof. Izquierdo is a Chartered Engineer, a Fellow member of the The Institution of Engineering and Technology (IET), a senior member of the IEEE, a member of the British Machine Vision Association, past chairman of the IET professional network on Information Engineering, member of the VSPC Technical Committee of the IEEE Circuits and Systems Society and member of the MSP technical committee of the IEEE. Prof. Izquierdo holds several patents in the area of multimedia signal processing and has published over 500 technical papers including chapters in books.

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