Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A wearable face recognition system for individuals with visual impairments
Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
Multi-scale local binary pattern histograms for face recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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Prosopagnosia (PA), or the inability to recognize faces, is widespread around the world, with no effective cure for the disease. We propose a wearable system to improve prosopagnosic's daily life. The system utilizes a real-time face recognition application that runs on a smartphone, and a portable eyewear that displays descriptive information when a person appears in range of camera mounted on the eyewear. The system helps these patients identify faces, reminds them to make social reactions and ultimately prevents them from developing social anxiety disorders, characterized by fear and avoidance of social situations that may cause embarrassment. Lastly, we implement the system in a real life demonstration to test its performance.