TV News Archive by recognizing the faces of public officials requires applying algorithms such as those developed by Matroid. In the future we hope to work with a variety of firms and researchers; for example, Schultz is also working on a separate facial detection experiment with the firm Datmo.
Facial detection requires a number of related steps: first, training buy sales lead the system to recognize where a face appears on a TV screen; second, extracting that image so it can be analyzed; and third, comparing that face to a set known to be a particular person to discover matches.
In general, facial recognition algorithms tend to rely on the work of FaceNet, described in this 2015 paper, in which researchers describe creating a way of “mapping from face images to a compact Euclidean space where distances directly correspond to a measure of face similarity.” In other words, it’s a way of turning a face into a pattern of data, and it’s sophisticated enough to describe faces from various vantage points – straight ahead, three-quarter view, side view, etc. To develop Face-o-Matic, TV News Archive staff collected public images of elected officials from different vantage points to use as training sets for the algorithm.