Low-Level Face Recognition

Research Question: How can we perform face recognition using shape primitives of face?

It’s hard to ignore the fact that facial recognition is one of the key areas in machine learning helping with improvements in security, efficiency, and entertainment.  As such, recognizing the deficits of modern state-of-the-art learning algorithms is an important task as we move towards the future.  In this paper, we utilize low-level features which are gathered by partitioning facial images into numerous smaller shape fragments, which are then reduced themselves into several atomic shape patterns called “shape primitives”.  By improving state-of-the-art models by introducing this technology, we help usher in the modern age of facial recognition.