New technique reduces processing power needed for facial recognition

The human brain has an amazing capacity for recognizing patterns, particularly faces. While we are able to differentiate different faces with apparent ease, computer facial recognition systems have a much harder time of it, relying on powerful computers and complex models to accurately identify the majority of differences between faces. This has held facial recognition systems back from being widely adopted, but now researchers at Florida Atlantic University (FAU) have developed a technique that significantly reduces the amount of computer power required without compromising accuracy.

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