Fabio Solari

University of GenoaItaly

Fabio Solari received the Laurea degree in Electronic Engineering from the University of Genoa, Italy, in 1995. In 1999 he obtained his Ph.D. in Electronic Engineering and Computer Science from the same University. Since 2005, he has been appointed as Assistant Professor of Computer Science at the Faculty of Engineering of the University of Genoa. His research activity concerns the study of the physical processes of biological vision to inspire novel algorithms and artificial perceptual machines based on neuromorphic computational paradigms. In particular, he is interested in: - Computational models of neural architectures, mainly in the dorsal stream of the visual cortex. - Algorithms for motion and depth computation, exploiting processing techniques based on spatio-temporal, multi-channel and multi-scale filtering. - Robotic systems for active vision: functional assessment of anthropomorphic robotic heads for active foveation; sensorimotor coordination in the peripersonal (e.g., reaching and grasping) and extrapersonal (e.g., navigation) space; space-variant vision systems (log-polar mapping). - Context sensitive receptive fields: motion analysis and motion interpretation, e.g. the time-to-contact estimation. - Software tools for the simulation of robotic systems and for the real-time processing of complex visual descriptors: neuromorphic algorithms for graphics processing units, GPGPU; virtual environments for the simulation of stereo active vision systems. - Augmented reality systems for the study of the visuo-motor coordination in the peripersonal space.

2books edited

3chapters authored

Latest work with IntechOpen by Fabio Solari

Recently, the algorithms for the processing of the visual information have greatly evolved, providing efficient and effective solutions to cope with the variability and the complexity of real-world environments. These achievements yield to the development of Machine Vision systems that overcome the typical industrial applications, where the environments are controlled and the tasks are very specific, towards the use of innovative solutions to face with everyday needs of people. The Human-Centric Machine Vision can help to solve the problems raised by the needs of our society, e.g. security and safety, health care, medical imaging, and human machine interface. In such applications it is necessary to handle changing, unpredictable and complex situations, and to take care of the presence of humans.

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