The document describes an algorithm for eye detection that involves 4 main steps: 1) skin detection using YCbCr color space thresholds, 2) eye localization by cropping the top and bottom portions of the face, 3) removing low intensity regions by thresholding column sums, and 4) detecting eyes as points of maximum intensity on inverted intensity graphs along columns and rows. The algorithm relies on detecting a single frontal face covering over 60% of the image and may fail if skin detection fails or intensity graphs are unclear.