Events — Colloquia & Seminars
Separating Foreground from Background in Video, and Other Applications of a Single-axis, Multi-sensor Camera
Speaker: Morgan McGuire (Brown University)
Date: Friday, February 17, 2006
Talk: 12:00 PM, 366 WVH
Abstract
A television weatherforecaster appears with a satellite map but is really standing in front of a blue screen. \emph{Matting} is the process of separating the forecaster from the screen; doing this if the forecaster is instead in front of a complex moving background, say traffic in New York City, is an open problem. I present a solution to this problem as one instance of what can be accomplished with a camera containing multiple video sensors.
Most cameras contain a single sensor that measures, at each pixel, the amount of light near specific red, green, and blue wavelengths. Using multiple sensors we can measure more wavelengths, multiple exposures, different polarizations; we can even consider different lens parameters.
Future cameras will likely have these capabilities, which raises interesting questions:
• What are good designs for multi-sensor cameras? • How can we use them to solve current problems? • Given multiple sensors, what new applications can we explore?
In this talk, I present a general framework for working with multi-sensor cameras, demonstrate several applications, and describe methods for construction, calibration, and optimizing optical design.
Brief Biography
none provided