Select Topics Associated with 3D Scanning by Means of Structured Light Illumination

Abstract:  Structured light is a 3D scanning method that involves projecting a series or structure patterns onto a target object such that, when viewed by a camera, the surface can be reconstructed based on the perceived warping of the patterns over the target. Because structured light scanners can achieve scan accuracies orders of magnitude better than passive methods like stereo-vision, it is a common method of 3D imaging in machine vision applications. In the specific case of phase measuring profilometry (PMP), the projected patterns are composed of sinusoidal gratings with a changing phase value. In this talk, Dr. Lau will review his 20 years of research in PMP scanning addressing numerous problems associated with target motion, projector/camera interfacing, and, most recently, multi-path where a camera pixel sees more than one path of light from the projector, onto a target object, and back to the camera. Dr. Lau will also discuss his work with structured light for fast fingerprint capturing, non-destructive testing of pipeline corrosion, and deep sea scanning.

Bio:  Dr. Daniel L. Lau received his B.Sc. degree (with highest distinction) in Electrical Engineering from Purdue University in 1995 and the Ph.D. degree from the University of Delaware in 1999. Today, he is the Databeam Professor and Director of Graduate Studies at the University of Kentucky. Daniel’s research interests are in 3D imaging for machine vision applications as well as multi and hyper spectral imaging through coded aperture spectral snapshot imaging and compressive sensing. Dr. Lau’s published works include articles in the Proceedings of the IEEE, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Signal Processing Magazine, as well as Elsevier Signal Processing journal. Outside of academia, Dr. Lau was a DSP Engineer at Aware, Inc., and an Image and Signal Processing Engineer at Lawrence Livermore National Laboratory. Dr. Lau also presents annual webinars on 3D imaging for Visions Systems Design, a trade magazine serving the robotics and machine vision industry, and Dr. Lau is a member of the Association for Advanced Automation (A3) technical committee for machine vision as well as their newly formed committee for workforce education and training.

*** The event will take place in a hybrid format. The location for in-person attendance will be room 1200 EECS. Attendance will also be available via Zoom.

Join Zoom Meeting:  https://umich.zoom.us/j/91414297851

Meeting ID:  914 1429 7851

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Zoom Passcode information is available upon request to Shelly Feldkamp ([email protected]).