• The tech looks for other possible identifiers — regularly worn clothing, a distinctive posture, or a signature haircut — and uses these clues to guess the person in the photo.
  • The team pulled roughly 40,000 public images from Flickr including some images showing full faces and some showing partially covered faces to provide data to build its recognition algorithm. Later tests showed the algorithm to be 83 percent accurate.
  • LeCun said such technology could be used in Facebook's standalone Moments photo app that was announced a week ago. The app apparently uses facial recognition technology to group photos based on the friends who are in them.

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