facial recognition

Look for images of "Washington" online, and Google's search engine may turn up a random sea of pictures showing the Washington monument, the White House, George Washington, and actor Denzel Washington. Now Google's new "Image Swirl" feature could eliminate that hit-or-miss frustration by organizing images in neat, expandable thumbnail stacks for users to explore.

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Bringing the "wanted poster in the post office" concept into the 21st century, the FBI has begun using facial recognition software to identify fugitives on North Carolina highways. The software measures the biometric features of thousands of motorists' DMV photos, matching them against mugshots. When the face matches that of a known criminal, the authorities jump into action.

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According to developmental psychologists, as infants, we learn to govern our bodies through a process of random experimentation and feedback. We contort our faces into weird shapes, watch our parents react, and then switch up our movements accordingly.

Now, computer scientists at the University of California, San Diego are applying this same strategy to robotics research. Through the use of machine learning, they’ve made it possible for their robot–an Einstein lookalike–to teach itself to make realistic facial expressions.

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Psychology researchers from Princeton University have created a computer program that provides better analysis of facial expressions and helps scientists determine what makes a face seem trustworthy or threatening.

Earlier research has found that people make snap judgments—within a tenth of a second—whether or not a person can be trusted solely on the appearance of the person’s face. Based that finding, Princeton researchers tried to quantify and define which characteristics a face must have to for people to reach a conclusion about that person.

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