A Case Study on Unconstrained Facial Recognition Using the Boston Marathon Bombings Suspects
Researchers at Michigan State University simulate the identification scenario presented by the investigation using two state-of-the-art commercial face recognition systems. The experimental results show one instance where a commercial face matcher returns a rank-one hit for suspect Dzhokhar Tsarnaev against a one million mug shot background database. Though issues surrounding pose, occlusion, and resolution continue to confound matchers, there have been significant advances made in face recognition technology to assist law enforcement agencies in investigations.