Chapter 6: Using Facial Recognition

When we look at someone’s face, we quickly scan their features, and see the circles, lines, and shadows that make up a person’s unique attributes. In addition, many of us tune into microexpressions, which are the subtle movements that help indicate the mood someone is currently experiencing. Because of this rich source of information, facial recognition technology (FRT) has proven to be an optimal biometric identifier. Each face has many areas that can be measured, such as the width of the face, the space from pupil to pupil, and the distance between the forehead and the chin.

So that you have a better understanding of the many variables involved, this chapter will outline what features are measured during facial recognition. We’ll take a look at how systems can acquire a facial image using two-dimensional (2D) and three-dimensional (3D) sensors, and see how modern systems can now detect emotion. You’ll recognize how...