Pose Correction for Automated Facial Recognition

The MITRE Corporation Computer Science, 2011-12

Liaison(s): Dr. Mark Burge, Josh Kontz ’10
Advisor(s): Zachary Dodds
Students(s): Emma Taborsky (PM), Emily Myers-Stanhope, Elliot Godzich, Dylan Marriner, Heather Williams

MITRE is a not-for-profit corporation, chartered to work solely in the public interest. Our clinic project has investigated and implemented algorithms for determining image locations of facial landmarks such as the eyes, nose, and corners of the mouth. These landmarks, in turn, con-tribute to applications including pose-identification, pose-correction, and facial recognition.