Rambus Lensless Camera Paper Wins Best Paper Award

Rambus announces that its paper "Lensless Ultra-Miniature CMOS Computational Imagers and Sensors" by David Stork and Patrick Gill won Best Paper Award at Sensorcomm 2013, held in Barcelona, Spain in August 2013. Rambus' "method relies on novel special phase anti-symmetric spiral phase gratings, which overcome prior limitations and afford new functionality. Moreover, our new sensor architecture enables the construction of new classes of ultra-miniature sensors whose output is an estimation of some property of the scene (e.g., visual motion) or a decision (e.g., face detection or barcode reading)."

"These imagers promise to be smaller (lower physical volume) than any existing lens-based imagers of comparable resolution, very inexpensive, and customizable to both imaging and a wide range of sensing and image measurement tasks."

Rambus Lensless Camera Paper Wins Best Paper Award
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