Academic Report:High-resolution, superfast 3D optical sensing and applications

Provenance:机械电子控制工程系英文网Release time:2015-05-11Viewed:5

Academic ReportHigh-resolution, superfast 3D optical sensing and applications

SpeakerSong Zhang, PhD

Time2015.5.18 10:30

LocationConference Room, 4th Floor, Hydraulic Old Building, Yuquan Campus

 

Abstract

    Advances in optical imaging and machine/computer vision have provided integrated smart sensing systems for the manufacturing industry; and advanced 3D optical sensing could have profound impact on numerous fields, with broader applications including manufacturing, biomedical engineering, homeland security, and entertainment. Our research addresses the challenges in high-speed, high-resolution 3D optical sensing and optical information processing. For example, we have developed a system that simultaneously captures, processes and displays 3D geometries 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 sensing 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 optical sensing 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 that we have developed: 1) superfast 3D optical sensing; and 2) real-time 3D video telepresence. I will also cover some of the applications that we have been looking into including cardiac mechanics, wind-driven droplet/rivulet flow measurement, in-situ inspection.

  

Brief Bio:

    Dr. Song Zhang is an associate professor of mechanical engineering at Purdue University. He received his Ph.D. degree in mechanical engineering from Stony Brook University in 2005; spent three years at Harvard as a postdoctoral research fellow; and then worked at Iowa State University as an assistant and associate professor before joining Purdue in Jan 2015. Dr. Zhang has published 76 journal articles; co-authored 6 book chapters; edited one book; and filed 8 patent applications (3 granted). 10 of his journal articles were selected as cover page highlights. Besides being extensively utilized in academia, the technologies he developed have been used by rock band Radiohead to create a music video House of Cards; and by the Zaftig Films to produce a movie Focus (II).  He has won the AIAA Best Paper Award, the Best of SIGGRAPH by the Walt Disney, the NSF CAREER award, and the Stony Brook University’s “40 under 40 Alumni Award”. Due to his contributions to high-speed, high-resolution 3D optical sensing and optical information processing, he was elected as the fellow of SPIE.