Stephen Cook presented his Part II project on gaze tracking with a laptop.
Abstract: Computer vision is becoming more and more prevalent in many
areas, from medical analysis to robotics. The area is still far behind
the abilities of a human, and this makes problems like gaze-tracking
very difficult to solve reliably. I will give an overview of the
algorithms needed to create a gaze-tracker; using rectangles to detect
faces, and gradient analysis to detect eyes. These algorithms are used
widely in industry, and are likely the same as used by devices such as
digital cameras, the Kinect, and autonomous vehicles (such as the Mars
Rover, and the Google Car).