Google is doing WHAT?

Facial recognition search

Image search is a burgeoning market that is woefully untapped. Today, when you type "Paris Hilton" at Google.com, you'll find images that other users have tagged. Yet tagging is a tedious process. At Flickr.com, for example, many images are left untagged, making it impossible to find them by searching. The more images stored without tags, the harder it is to find them.

At Google, new facial recognition technology will make it easier to find untagged images. Unlike the technology used for biometrics -- where you can pass through a security checkpoint when a video camera confirms your identity -- this image search is purely for finding the information you want.

"What Google did for text, we want to do for vision," says Shumeet Baluja, a Google research scientist. "We want to make images just as searchable and accessible as text."

Imagine this scenario: Five years from now, when all of your digital photos are stored online, you decide you want to search for pictures of your grandmother. With Google facial recognition technology, you might start with a source scan that measures the distance between the eyes, arrangement of nose, ears, eyes and other data. In seconds, you find every image you ever uploaded -- and any image stored anywhere online.

After measuring the facial characteristics of an image, you can find all versions of that image, including the most common photo and all variations.
Click to view larger image.