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Stereo Vision Fundamentals and Use Cases for Industrial Robotic Applications

Presentation will begin: Wednesday, July 17, 2024 - 8:05 AM
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Stereo Vision Fundamentals and Use Cases for Industrial Robotic Applications

Presented by: Stephen Se, Teledyne FLIR

3D sensors are essential for depth perception in real-world scenarios. The most common methods to achieve depth perception are stereo, time-of-flight, lidar and laser triangulation. In this talk, the trade-offs of these 3D vision technologies as they pertain to industrial robotic applications are discussed. Se will focus on stereo vision, its key design drivers, and the processing pipeline. Several use cases of deploying stereo cameras in various industrial robotic applications are presented and Se discusses some of the common challenges as well as ways to tackle them.


About the presenter
Stephen SeStephen Se, Ph.D., is the senior engineering manager at Teledyne FLIR Machine Vision with over 25 years of experience in computer vision, video/image processing, stereo imaging, deep learning, 3D modeling, mobile robotics, etc. He completed a bachelor's engineering degree in computing at Imperial College London and a doctorate in computer vision and robotics at the University of Oxford. He then worked as a post-doctoral researcher at the University of British Columbia on vision-based mobile robot localization. Subsequently, he led computer vision R&D projects for defense, mining, and terrestrial applications at MDA Corporation. He is a senior member of IEEE and a professional engineer, with over 40 technical publications.




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