Augmented Identity - I know who you are (if not what you did!)

Technology Review - 2.23.10 (by Erika Jonietz)



An application that lets users point a smart phone at a stranger and immediately learn about them premiered last Tuesday at the Mobile World Congress in Barcelona, Spain. Developed by The Astonishing Tribe (TAT), a Swedish mobile software and design firm, the prototype software combines computer vision, cloud computing, facial recognition, social networking, and augmented reality.

"It's taking social networking to the next level," says Dan Gärdenfors, head of user experience research at TAT. "We thought the idea of bridging the way people used to meet, in the real world, and the new Internet-based ways of congregating would be really interesting."

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Moving towards machine-human merger - Human eye inspires advance in computer vision

Editor's note: Machines become more human, humans become more machine - a marriage that seems inevitable.

Boston College - June 2009

Inspired by the behavior of the human eye, Boston College computer scientists have developed a technique that lets computers see objects as fleeting as a butterfly or tropical fish with nearly double the accuracy and 10 times the speed of earlier methods.

The linear solution to one of the most vexing challenges to advancing computer vision has direct applications in the fields of action and object recognition, surveillance, wide-base stereo microscopy and three-dimensional shape reconstruction, according to the researchers, who will report on their advance at the upcoming annual IEEE meeting on computer vision.

BC computer scientists Hao Jiang and Stella X. Yu developed a novel solution of linear algorithms to streamline the computer's work. Previously, computer visualization relied on software that captured the live image then hunted through millions of possible object configurations to find a match. Further compounding the challenge, even more images needed to be searched as objects moved, altering scale and orientation.

Rather than combing through the image bank – a time- and memory-consuming computing task – Jiang and Yu turned to the mechanics of the human eye to give computers better vision.

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