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> The idea behind Chernoff faces (or using faces for data visualization) seems good: we humans are very good at distinguishing faces

Except that:

1. We humans are actually _ABYSMAL_ at distinguishing faces (https://en.wikipedia.org/wiki/Cross-race_effect)

2. The ability to differentiate between two things and the ability to translate attributes into metrics are fundamentally so different from each other that any possible truth to the idea instantly becomes wildly irrelevant. https://eagereyes.org/criticism/chernoff-faces




One case of being imperfect isn't "abysmal". Cross facial discrimination is far more accurate than cross-species body discrimination, or wood grain discrimination, or many other things. There are brain regions detected to be dedicated to facial recognition.




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