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“With widespread adoption among law enforcement, advertisers, and even churches, face recognition has undoubtedly become one of the biggest threats to privacy out there.

By itself, the ability to instantly identify anyone just by seeing their face already creates massive power imbalances, with serious implications for free speech and political protest.”

Microsoft pitches technology that can read facial expressions at political rallies.

“But more recently, researchers have demonstrated that even when faces are blurred or otherwise obscured, algorithms can be trained to identify people by matching previously-observed patterns around their head and body.

In a new paper uploaded to the ArXiv pre-print server, researchers at the Max Planck Institute in Saarbrücken, Germany demonstrate a method of identifying individuals even when most of their photos are un-tagged or obscured. The researchers’ system, which they call the “Faceless Recognition System,” trains a neural network on a set of photos containing both obscured and visible faces, then uses that knowledge to predict the identity of obscured faces by looking for similarities in the area around a person’s head and body.”

“In the past, Facebook has shown its face recognition algorithms can predict the identity of users when they obscure their face with 83% accuracy, using cues such as their stance and body type. But the researchers say their system is the first to do so using a trainable system that uses a full range of body cues surrounding blurred and blacked-out faces.”

“If the founders of a new face recognition app get their way, anonymity in public could soon be a thing of the past. FindFace, launched two months ago and currently taking Russia by storm, allows users to photograph people in a crowd and work out their identities, with 70% reliability.

It works by comparing photographs to profile pictures on Vkontakte, a social network popular in Russia and the former Soviet Union, with more than 200 million accounts. In future, the designers imagine a world where people walking past you on the street could find your social network profile by sneaking a photograph of you, and shops, advertisers and the police could pick your face out of crowds and track you down via social networks.”

Founder Kabakov says the app could revolutionise dating: “If you see someone you like, you can photograph them, find their identity, and then send them a friend request.” The interaction doesn’t always have to involve the rather creepy opening gambit of clandestine street photography, he added: “It also looks for similar people. So you could just upload a photo of a movie star you like, or your ex, and then find 10 girls who look similar to her and send them messages.”