As we have said before on this blog, it is just a matter of time before digital cameras automatically label pictures with location and personal information.
According to an article in newscientist.com, Yahoo’s Berkeley research lab is using Bluetooth-enabled cell phone cameras along with facial recognition software to automatically label pictures with location and people identification information. So far the system is 60% accurate at identifying people in pictures from a short list of possible individuals.
From the article —
The concept, being developed by Marc Davis of Yahoo’s Berkeley research lab in California, is based on a central server that registers details sent by the phone when the photo is taken. These include the nearest cellphone mast, the strength of the call signal and the time the photo was taken.
The system also identifies the other Bluetooth-enabled cellphones within range of the photographer and combines this with the time and place information to create a shortlist of people who might be in the picture. This can then be combined with facial-recognition algorithms to identify the subjects from the shortlist.
Facial recognition software on its own can only identify people with 43 per cent accuracy from the grainy shots taken by camera phones, but in tests Davis and his team found that by combining it with context information the system could correctly identify people 60 per cent of the time. The context information can also be combined with image-recognition software to identify places within photos.
The entire article is available on newscientist.com @ Camera phone helps label snaps