Learn all about current and future 3D imaging methods and applications

Nov. 2, 2016
3D imaging can be accomplished in various ways, including single and multi-camera methods, structured light systems, and those based on the Time of Flight principle. With the ever-increasing market for augmented and virtual reality systems, sensors capable of real-time 3D video are hitting the market at a feverish pace at prices never dreamed of only a few short years ago. 

3D imaging can be accomplished in various ways, including single and multi-camera methods, structured light systems, and those based on the Time of Flight principle. With the ever-increasing market for augmented and virtual reality systems, sensors capable of real-time 3D video are hitting the market at a feverish pace at prices never dreamed of only a few short years ago.

In a November 30 webcast from Daniel Lau, Professor of Electrical and Computer Engineering at the University of Kentucky, attendees will learn all about these different methods of 3D imaging, in terms of both hardware and software, and which is most appropriate for a given machine vision or image processing application. He will also discuss the current state of imaging research underway that will define the market for imaging hardware in the future. This webcast, which is sponsored by Point Grey and Osela, will conclude with a Q&A period.

Webcast information:

Current and future 3D imaging applications and methods
Daniel Lau, Professor of Electrical and Computer Engineering at the University of Kentucky
November 30, 2016 11:00 AM EST (Approximately 1 hour)

Click here to register >>>

Pictured: Point Grey’s Bumblebee stereo cameras acquire 3D images.

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About the Author

James Carroll

Former VSD Editor James Carroll joined the team 2013.  Carroll covered machine vision and imaging from numerous angles, including application stories, industry news, market updates, and new products. In addition to writing and editing articles, Carroll managed the Innovators Awards program and webcasts.

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