“High-Speed 3D Imaging and Applications”
Thursday, Oct. 29 at 1:00 pm
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Advances in optical imaging and machine/computer vision have provided integrated smart sensing systems for the manufacturing industry; and advanced 3D imaging could have profound impact in numerous fields with broader applications. Our research addresses the challenges in high-speed, high-resolution 3D imaging and 3D image information processing. For example, we have developed a system that simultaneously captures, processes and displays 3D scenes at 30 Hz with over 300,000 measurement points per frame, which was unprecedented at that time (a decade ago).
Our current research focuses on achieving speed breakthroughs by developing the binary defocusing techniques; and exploring novel means to store enormously large 3D data by innovating geometry/video compression methods. The binary defocusing methods coincide with the inherent operation mechanism of the digital-light-processing (DLP) technology, permitting tens of kHz 3D imaging speed at camera pixel spatial resolution. The novel methods of converting 3D data to regular 2D counterparts offer us the opportunity to leverage mature 2D data compression platform, achieving extremely high compression ratios without reinventing the whole data compression infrastructure. In this talk, I will present two platform technologies: 1) high-speed 3D imaging; and 2) real-time 3D video communication. I will also discuss how such platform technologies could benefit the automotive industry including biomedical engineering, robotics, autonomous vehicle systems, along with others.
Dr. Song Zhang is a professor of mechanical engineering and university faculty scholar at Purdue University. He serves as the assistant head for experiential learning in the School of Mechanical Engineering. He received his Ph.D. degree in mechanical engineering from Stony Brook University in 2005. His major research interest includes high-speed 3D imaging techniques, and 3D geometry/video analysis. Dr. Zhang has published over 200 papers including over 130 journal articles and two books. His work has been cited over 11,000 times with an h-index of 51. He has won numerous awards including AIAA Best Paper Award, IEEE ROBIO Best Conference Paper Award, IS&T Electronic Imaging Best Student Paper Award, Best of SIGGRAPH Disney Emerging Technologies Award, the NSF CAREER award, Stony Brook University’s “40 under 40 Alumni Award”, and College of Engineering Early Career Faculty Research Excellence Awards from both Iowa State and Purdue. He is a Fellow of OSA and SPIE.