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Sistemi di Visione Artificiale Indossabili

Sistemi di Visione Artificiale Indossabili

Wearable devices such as Microsoft HoloLens and Google Glass Enterprise Edition have great potential for use in cultural and industrial contexts. Furthermore, these devices can be very useful in Ambient Assisted Living application domain. Although the market already offers wearable devices suitable for use in such contexts, the development of artificial intelligence techniques in the aforementioned application areas is still under-explored.
Videos and demos on the research activities performed by the Image Processing Laboratory (IPLAB) at the University of Catania related to Wearable Artificial Vision Systems.
More information is available at the following link: https://iplab.dmi.unict.it/fpv/
Italy


Sistemi di Visione Artificiale Indossabili

FPV@IPLAB - University of Catania (Main Contact: Prof. Giovanni Maria Farinella)

Giovanni Maria Farinella is 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. His group’s most recent effort is related to First Person Egocentric Vision. He is author of more than 120 papers in international book chapters, journals and conference proceedings, and co-inventor of 5 patents involving industrial partners. Dr. Farinella serves as a reviewer and on the board programme committee for major international journals (Pattern Recognition, IET Computer Vision) and conferences (CVPR, ICCV, ECCV, BMVC). He is Area Chair for ICCV 2017-19 and Associate Editor of the international journal Pattern Recognition (2017- ). Dr. Farinella founded (in 2006) and currently directs the International Computer Vision Summer School (ICVSS). He also founded (in 2014) and currently directs the Medical Imaging Summer School (MISS). He was awarded the PAMI Mark Everingham Prize in October 2017. More details are available at http://www.dmi.unict.it/farinella


Stand A11 (pav. 9) - CINI - AIIS


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Data updated on 2019-10-20 - 5.32.19 pm