Face recognition software measures various parameters in a
mug shot, such as the distance between the person’s eyes, the height from lip
to top of their nose and various other metrics and then compares it with photos
of people in the database that have been tagged with a given name. Now,
research published in the International Journal of Computational Vision and
Robotics looks to take that one step further in recognizing the emotion
portrayed by a face.