Digital Aging
January 1, 2016MITRE Corporation Computer Science, 2015-16
Liaison(s): Nick Orlans, Sarah Doyle, Jay Doyle, Adam Day
Advisor(s): Lisa Kaczmarczyk
Students(s): Vincent Fiorentini (PM-S), Hana Kim, Josh Petrack, Hannah Young (PM-F)
Identification of missing persons becomes more difficult over time as the person ages. To address this challenge, this Clinic project aims to digitally age a face image of a person, building off of existing image processing techniques. The team has created a script interfacing with Adobe Photoshop to simulate the effects of aging on face images, focusing in particular on young subjects to better help identify missing children when their images are presented to automated tools and human observers.