We use our eyes to make sense of the world around us. With cameras and a little code, our computers can make sense of the visual world too.
Robots use computer vision to detect and avoid obstacles. Interactive artists use computer vision to sense people and react to their motion. Manufacturers use computer vision to inspect the quality of parts. Cameras are even showing up in toys!
Their wide availability is enabling a vibrant community of makers who are co-opting these devices for applications ranging from home automation to multi-touch interaction. What would you do if your computer could see?
Presented by a roboticist and an interactive artist, "Making Computers See" highlights common algorithmic techniques.
Eric Gradman and Kjerstin Williams cover basic image transforms that let you clean up your image, find bright objects, trace their contours, and meaningfully interpret the results. They also give a practical summary of the tradeoffs between different cameras and discuss some free software you can download. With a few fundamental ideas, you'll soon be making your computer see!
Eric Gradman is a SyynLabs artist whose work often incorporates unusual sensors and novel interactions.
His work has been seen at Sundance Film Festival, Los Angeles County Museum of Art, the TED conference, and the Los Angeles Hammer Museum. He's also a circus acrobat and fly-by-night roboticist.
Kjerstin Williams, PhD is a senior robotics engineer at Applied Minds Inc. Her specialties include multi-robot system design and swarm intelligence.
When she's not in the lab, you can find her on a stage somewhere, singing jazz.