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MIT researchers and their colleagues have developed a new computational model of the human brain's face-recognition mechanism that seems to capture aspects of human neurology that previous models have missed.
The researchers designed a machine-learning system that implemented their model, and they trained it to recognize particular faces by feeding it a battery of sample images. They found that the trained system included an intermediate processing step that represented a face's degree of rotation—say, 45 degrees from center—but not the direction—left or right.
This property wasn't built into the system; it emerged spontaneously from the training process. But it duplicates an experimentally observed feature of the primate face-processing mechanism. The researchers consider this an indication that their system and the brain are doing something similar.
(Score: 0) by Anonymous Coward on Monday December 05 2016, @07:40PM
Facebook has been paying for this research for a while. Look up the sample work they did -- I think Sylvester Stallone was the example face model.
The goal was to have FB be able to automatically detect and tag people in photos that were on an angle, poorly lit, or less than symetrical (scars/jowls, etc) that can make one person loon potentially like someone else on an angle.
Why they care is not something they discussed.