Machine Learning

Human Face recognition differentiates unique physical attributes about a person face, the different heights, depths, and weights. Computer vision systems can pick peoples face out of a crowd almost instantaneously and measure various features of that face and compare the measurements with those faces stored in the database. Everyones face has distinguishable features for example peaks and troughs. There are about 80 of these features on the human face, including distance between the eyes, the width of the nose and the depth of the eye sockets. The computer after measuring the face creates a numerical number representing the face. Usually 14 to 22 of the 80 features in a face print is enough to complete the recognition process. --- Send in a voice message: https://anchor.fm/david-nishimoto/message