Face recognition

One of the most incredible applications of algebra in real life is the facial recognition, humans tend to use faces to recognize individuals, fortunately, the advancements in computing capabilities in the past few decades let us to do similar recognitions automatically. The concept of this are the eigenvectors, in 1988, Kirby and Sirobich discovered that there were necessary less than one hundred of values to encode any face, this was a huge progress, as in the beginning the markers used to automate the recognition were subjective (hair colour or lip thickness) and these solutions had to be computed manually. This discovery accelerated the development of this technology. Years ago, the face recognition algorithms used simple geometric models, but the recognition process has now evolved into a science of sophisticated mathematical representations and matching processes.

We will continue talking about this in the next posts for sure as it´s a truly amazing field. See you!