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“So by displaying these key parts of the bird, we can teach someone to better identify birds by themselves, even when they don’t have Birdsnap with them.”ĭemonstrating the website in his office, Belhumeur pulls up a side-by-side comparison of the snowy egret and the great egret. “The parts of the bird that the computer looks at are often the same as the parts a person would look at to distinguish between birds,” says Berg.

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candidate at Columbia, Thomas Berg.īirdsnap not only identifies birds, it can also show users how to make an identification. “It’s all automatic,” he says.Īn expert in facial recognition, Belhumeur built Birdsnap with David Jacobs, a computer science professor at the University of Maryland, and a computer science Ph.D. While state-of-the-art facial recognition algorithms identify similarities between parts of the human face-the nose, chin or eye, for instance-Birdsnap homes in on parts of a bird-the beak, eye, wing, neck or feet-and finds visual similarities to other birds.

“It’s all part of the same thing, using this technology to recognize the things around you,” says Belhumeur. Birdsnap uses the computer technology that can recognize human faces to identify 500 common birds in North America. Peter Belhumeur, a Columbia computer science professor whose app for recognizing leaves was launched in 2011, has now created Birdsnap, an electronic guide for identifying birds. Digital technology is about to add big data to the bird enthusiast’s traditional tools of binoculars and a field guide.