Giovanni Fusco
Scientific Software Analyst
Degrees: Ph.D. in Computer Science, Universita' degli Studi di Genova
M.S. in Computer Science, Universita' degli Studi di Napoli Federico II
B.S. in Computer Science, Universita' degli Studi di Napoli Federico II
M.S. in Computer Science, Universita' degli Studi di Napoli Federico II
B.S. in Computer Science, Universita' degli Studi di Napoli Federico II
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Journal Articles
. (2016). Smooth pursuit eye movements in patients with macular degeneration. Journal Of Vision, 16, 1.
. (2014). Structured multi-class feature selection with an application to face recognition. Pattern Recognition Letters.
Conference Papers
. (2018). Indoor Localization using Computer Vision and Visual-Inertial Odometry. In International Conference on Computers Helping People with Special Needs (ICCHP '18). Linz, Austria. (Original work published In Press)
. (2016). Towards a Sign-Based Indoor Navigation System for People with Visual Impairments. In 18th International ACM SIGACCESS Conference on Computers and Accessibility. Reno, NV: ACM.
. (2015). Appliance Displays: Accessibility Challenges and Proposed Solutions. In 17th International ACM SIGACCESS Conference on Computers and Accessibility. Lisbon, Portugal: ACM. http://doi.org/http://dx.doi.org/10.1145/2700648.2811392 (Original work published 2015)
. (2015). The Tactile Graphics Helper: Providing Audio Clarification for Tactile Graphics Using Machine Vision. In ASSETS. (Original work published 2015)
. (2014). Using Computer Vision to Access Appliance Displays. In ASSETS. (Original work published 2014)
. (2014). Self-Localization at Street Intersections. In Computer and Robot Vision (CRV), 2014 Canadian Conference on (pp. 40–47). IEEE.
. (2014). Determining a Blind Pedestrian’s Location and Orientation at Traffic Intersections. In Computers Helping People with Special Needs (pp. 427–432). Springer International Publishing.
. (2013). A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus. In Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on (pp. 239–244). IEEE.
. (2012). Combining retrieval and classification for real-time face recognition. In Advanced Video and Signal-Based Surveillance (AVSS), 2012 IEEE Ninth International Conference on (pp. 276–281). IEEE.
. (2010). Low-cost face biometry for visually impaired users. In Biometric Measurements and Systems for Security and Medical Applications (BIOMS), 2010 IEEE Workshop on (pp. 45–52). IEEE.
Other Publications
. (2013). Structured multi-class feature selection for effective face recognition. In Image Analysis and Processing–ICIAP 2013 (pp. 410–419). Springer Berlin Heidelberg.
. (2009). A semi-automated method for the measurement of the fetal nuchal translucency in ultrasound images. In Image Analysis and Processing–ICIAP 2009 (pp. 613–622). Springer.
Rehabilitation Engineering Research Center
The Center's research goal is to develop and apply new scientific knowledge and practical, cost-effective devices to understand and address better the real-world problems of blind, visually impaired, and deaf-blind consumers. The RERC has many ongoing R&D projects and collaborative relationships,...
Coughlan Lab
The goal of our laboratory is to develop and test assistive technology for blind and visually impaired persons that is enabled by computer vision and other sensor technologies.
Tactile Graphics Helper (TGH)
Tactile graphics use raised lines, textures, and elevations to provide individuals with visual impairments access to graphical materials through touch. Tactile graphics are particularly important for students in science, technology, engineering, and mathematics (STEM) fields, where...
CamIO
CamIO (short for “Camera Input-Output”) is a system to make physical objects (such as documents, maps, devices and 3D models) accessible to blind and visually impaired persons, by providing real-time audio feedback in response to the location on an object that the user is touching.
Display Reader
The goal of the Display Reader project is to develop a computer vision system that runs on smartphones and tablets to enable blind and visually impaired persons to read appliance displays. Such displays are found on an increasing array of appliances such as microwave ovens, thermostats and...
Sign Finder
This project seeks to develop a computer vision-based system that allows a visually impaired traveler to find and read informational signs, such as signs labeling office doors, streets, restrooms and Exit signs.
Link ...
A Computer Vision-Based Indoor Wayfinding Tool
We are creating a smartphone-based indoor navigation app to estimate the user's location in an indoor environment and guide him/her to a desired destination.
Crosswatch
Crosswatch is a smartphone-based system developed for providing real-time guidance to blind and visually impaired travelers at traffic intersections. Using the smartphone's built-in camera and other sensors, Crosswatch is designed to tell blind and visually impaired travelers what kind of...