Facebook is experimenting with a technology that is able recognize people in photos even if it can’t see their faces. In real life, in the absence of a clear image of the frontal face, we rely on a variety of other factors such as clothes, accessories, pose, and hair style to recognize a person. The Pose Invariant Person Recognition or PIPER method takes these cues to recognize people on the photos.
“We can easily picture Charlie Chaplin’s mustache, hat and cane or Oprah Winfrey’s curly volume hair. Yet, examples like these are beyond the capabilities of even the most advanced face recognizers, “said Facebook.
The dataset collected by Facebook to test the new algorithm was based on public photo albums uploaded to another social media site Flickr. The new technology developed by the Facebook AI Research team was able to recognize people’s identities with 83.05% accuracy. Moreover, when a frontal face of the individuals was available, the accuracy increased to 93.4%.
The New Facebook Moments App in Trouble Over Facial Recognition
Facebook has recently launched its new photo-sharing app Moments. The new app allows Facebook users to share photos privately within a group of friends and automatically tags all people based off user’s Facebook friend network.
“With a phone at everyone’s fingertips, the moments in our lives are captured by a new kind of photographer: our friends. It’s hard to get the photos your friends have taken of you, and everyone always insists on taking that same group shot with multiple phones to ensure they get a copy.” said Facebook in the press release.
While the individual recognition algorithm is impressive, it raises some serious concerns over privacy and the biometric data protection. The app was blocked in Europe due to its facial recognition software and will not be available to the public until the social media site adds an opt-in mechanism.
From a marketing standpoint, a recognition technology like PIPER can help improve photo sharing apps like Moments app and empower advertisers to target people more accurately by their appearances, interests and activities and show them appropriate content. This will inevitably become a breakthrough for social media marketing.
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