(The above image represents 16 eigenfaces for about a 1000 different images of human faces. Image Source: same link as for "towardsdatascience" page mentioned below.)
I just came across the concept of having human faces as eigen vectors and this is simply awesome! This concept can be used to store compressed version of individual human faces(this saves storage space) and those individual faces can still be reconstructed to have a good approximation of their original versions. All this can be done using the basic concept of machine learning called Principal Component Analysis! Please checkout this crisp explanation from "towardsdatascience" page to know more about this topic.
Link: https://towardsdatascience.com/eigenfaces-recovering-humans-from-ghosts-17606c328184
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