3D imaging can be accomplished in various ways, including single and multi-camera methods, structured light systems, and those based on the Time of Flightprinciple. 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.
On November 28, Dr. Daniel Lau, Professor of Electrical and Computer Engineering at the University of Kentucky, will explain these different methods of 3D imaging in detail, 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.
Webcast information:
3D imaging: Discover the current and future methods and applications
Dr. Daniel Lau, Professor of Electrical and Computer Engineering at the University of Kentucky
November 28, 2018 11:00 AM EDT
>>>Register here
You may also like:
3D imaging gives vision systems a different perspective: Numerous methods of implementing 3D vision systems are adding a new dimension to machine vision systems
3D imaging: 3D vision harvests agricultural products: Using a combination of 3D laser scanners, robotics, image processing and deep learning software, Capture Automation is developing systems to automate the harvesting of broccoli heads.
3D imaging: 3D vision system detects gear defects fast: Mesure-Systems3D has developed a non-contact 3D scanning system to perform 100% in-line inspection of gears right on the shop floor. The system, dubbed GearINSPECTION, was previewed at the VISION 2016 tradeshow and conference in Stuttgart, Germany.
