Giovanni Maria Farinella obtained the degree in Computer Science (egregia cum laude) from the University of Catania, Italy, in 2004. He is Founder Member of the IPLAB Research Group at University of Catania since 2005. He also became an Associate Member of the Computer Vision and Robotics Research Group at University of Cambridge in 2006, and Associate Member of the Italian National Research Council since 2018. He was awarded a Doctor of Philosophy (Computer Vision) from the University of Catania in 2008. He is currently a Tenure Track Associate Professor at the Department of Mathematics and Computer Science, University of Catania, Italy. His research interests lie in the fields of Computer Vision, Pattern Recognition and Machine Learning. He is Associate Editor of the international journals Pattern Recognition and IET Computer Vision. Giovanni Maria Farinella founded (in 2006) and currently directs the International Computer Vision Summer School. He also founded (in 2014) and currently directs the Medical Imaging Summer School. He was awarded the PAMI Mark Everingham Prize 2017.
Wearable imaging devices (e.g., Hololens, Magic Leap, etc) allow to seamlessly acquire images of the world from the perspective of the person moving in an environment (First Person Vision). Given their intrinsic mobility and the ability to acquire user-related information, those egocentric vision systems have to deal with the understanding of a continuously evolving environments. The main aim of the research in this field is to provide those systems an effective and robust Visual Intelligence. In this talk, we will discuss the challenges and opportunities offered by wearable vision systems by covering the historical background and seminal works. Technological tools (including devices and algorithms) which can be used to analyze first person visual data as well open problems will be discussed.