Facebook Looks to Ace With DeepFace
A recently published paper by Facebook’s R&D explicitly detailed the internet
giant’s exploits in this arena. Christened as DeepFace, researchers have claimed that this technology has the capability of identifying faces accurately up to 97.25% of the time it was put to test. For this, two mutually exclusive photographs were scanned by DeepFace before it delivered the results to the researches. In comparison, human capability is as high as an estimated 97.53% on an average and even higher for people with an eidetic memory.
DeepFace’s accuracy is derived from its ability to create a three-dimensional model of any human facial structure and then scanning Facebook’s network to complete the identification process. This generation of 3D model created from an available photograph has been designed by the programmers at Facebook and aptly named DeepLearning.
Facebook, although, is currently using an advanced facial recognition technology which was also developed by its researchers. The same can be seen in action regularly by the patrons of the social networking website when it suggests names from the user’s network for tagging immediately after an upload is initiated. However, DeepLearning’s algorithm to identify facial features is being touted as far more advanced than what is being used by any company at this point in time, which also includes Google’s G+.
See the full story here: http://guardianlv.com/2014/04/facebook-looks-to-ace-with-deepface/