Overview[]
Automated face recognition (also automated facial recognition or automated FR)
| “ | software uses pattern matching approaches developed within the field of computer vision. Such approaches do not rely upon intrinsic models of what a face is, how it should appear, or what it may represent. In other words, the potential matching is not based on biological or anatomical models of what a face — or the features which make up a face — look like. Instead, the algorithm performance is entirely dependent upon the patterns which the algorithm developer finds to be most useful for matching. The patterns used in automated FR algorithms do not correlate to obvious anatomical features such as the eyes, nose or mouth in a one-to-one manner, although they are affected by these features. Put another way, the algorithms 'see' faces in a way that differs from how humans see faces.[1] | ” |