The latest face recognition algorithm works accurately without looking at the face

The face recognition algorithm invented by German researchers can achieve high accuracy of identification without seeing the face in the photo.

Face recognition technology has caused people's concerns about privacy, and with the continuous progress of related technologies, the privacy problems it creates will only become more serious. If the ability to identify a person ’s identity with just one photo creates a serious imbalance between those in power and ordinary citizens, the newly unveiled “Faceless Recognition System (FRS)” completely destroyed the only one A little bit balanced.

The faceless recognition system is a technology invented by the Max Planck Institute in Saarbrücken, Germany. Its purpose is to perform identity recognition through imperfect-blurred or blocked images. This system will use a set of blocked and unblocked images to train a neural network to find similarities between the target's head and body.

The test found that the accuracy of this algorithm is quite high. After seeing an unblocked face photo, it can identify the same person in the blocked face photo with 69.6% accuracy. If the number of facial photos is increased to 10, the accuracy rate will climb to 91.5%.

However, this technology also has its own limitations. If a person's face is blackened, the accuracy rate will drop to 14.7%, but even this is more accurate than human judgment.

As for the privacy concerns it raises, the researchers responded as follows:

"From a privacy perspective, the results presented by this technology do cause concern. But similar undisclosed systems are likely to have been put into use. We believe that the computer vision community has a responsibility to quantify and disseminate users online. Privacy issues with sharing photos. "

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