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 Averaging Faces to Aid Surveillance

This story is from the category Artificial Intelligence
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Date posted: 17/09/2007

University of Glasgow researcher Rob Jenkins has created an imaging tool which should bolster security and surveillance issues by recognising faces far better than any human.

Currently, both people and computers are poor at recognising a person's face, especially if it is unfamiliar.

Rob Jenkins explained: "Familiarity with the face seems to be a natural consequence of exposure to that face - the more you see it, the more familiar you become with it.

"So we have been trying to explore the idea that we can combine different looking images of the same person to extract the 'essence' of that face, and see if that essence is beneficial in terms of face recognition."

Dr Jenkins' computer program takes multiple images of faces - the minimum necessary is 12 - and combines them to form an "average" face."

"It gets rid of information that is unhelpful or misleading: lighting, expressions and pose, while preserving information that is consistent from photo to photo.

"Basically, it is getting rid of the information you don't want and consolidates information that you do want."

See the full Story via external site: news.bbc.co.uk



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