Kinect: solving an impossible problem

Date

January 30, 2012

Speaker

Andrew Fitzgibbon

Affiliation

Microsoft

Overview

You have probably played with Kinect. At the very least, I’m hoping you’ve heard of it. The idea is pretty simple: a special camera looks out from the TV, and tells the XBox about your body position, which allows you to control video games in a way that’s very different from a traditional controller, or even than the Wii. What you mightn’t realize is that only about 5 years ago, most people thought it was impossible to build such a system with the kind of computing power we have today. Many scientists and engineers around the world were working on ways of solving the problem (we called it “markerless human motion capture”), but it looked far off. In a tiny way, it was a bit like all the people working on heavier-than-air flight at the turn of the 20th century—although the Wright brothers get the credit, there were many little steps before they made the first sustained flight. Then, in 2007-2008, several elements came together, and one person at XBox called Alex Kipman suddenly decided it could be done, and gathered a group of people to try to build it. I’ll talk about the steps leading up to this “impossible project”, and how we worked to make it possible. I don’t know what impossible problems the world’s boffins will solve next—invisibilty cloak? anti-gravity? wireless power?—but I hope some of you will one day be involved in changing our future.

Speakers

Andrew Fitzgibbon

Andrew Fitzgibbon is a Royal Society University Research fellow working in Oxford University’s Visual Geometry Group. Following undergraduate work at the National University of Ireland, he received his PhD from Edinburgh University in 1997. He has twice received the IEEE’s Marr Prize and software based on his work won an Engineering Emmy Award in 2002 for significant contributions to the creation of complex visual effects. His research interests are in the intersection of computer vision and computer graphics, with excursions into neuroscience.

People