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it's ture, at least for the time being, people living in china cann't access to blogspot, wikipedia(the...- someone_who_s_in_china
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A start-up that built a facial-recognition search engine wants to give online daters the ability to search for mates who look like celebrities, but ultimately hopes its technology will be used for larger issues, such as helping law enforcement track down child molesters.
ActiveSymbols of Bellevue, Wash., unveiled today a beta version of its Eyealike Visual Search platform, which analyzes facial features, such as eyes, nose, mouth, chin, skin tone, hair color, texture and length, and compares them to hundreds of thousands of photos on the Web.
Beta participants can upload their own photo to discover which celebrity they look like, or click on a celebrity they find attractive and search for daters with similar facial features. The public beta site crawls through about 300,000 images of males and females posted on such dating sites as Match.com and AmericanSingles.
The Eyealike site itself is meant to demonstrate ActiveSymbols’ capabilities, rather than become a destination site of its own. ActiveSymbols hopes to incorporate its technology into that of major dating sites, but so far does not have any signed agreements to do so, says company President Greg Heuss.
“I have a long history and background in the online dating world going back to the late 1990s,” Heuss says. “I’ve already begun conversations [with some large online dating companies].”
Heuss was vice president of marketing for Kiss/udate.com before selling the platform to Match.
Eyealike breaks down facial components and analyzes them separately (see graphic):
Click to see: Eyealike Visual Search
So if you’re a fan of Charlize Theron, you can look for potential mates with a similar nose, skin tone, chin shape or hair texture.
Heuss says this is more effective than simple facial-measurement tools. “There’s a ton of open source code that can find a face and the distance between the eyes. But it’s when you break down the thousands of pixels in the face that makes us different,” he says.
The EyeAlike algorithm tries to figure out what each person is searching for, so if someone clicks on a number of blondes, people with that hair color will come up more frequently. Additional features planned for December let users search more effectively by specifying which facial features are most important to them.
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