报告题目：高分辨率、高速三维成像及应用
High-resolution, high-speed 3D imaging and applications
报告人：普渡大学 张松博士
时间：2018年5月10日（星期四） 上午10: 00~11: 00
地点：机械楼附楼二楼讲习室
欢迎各位老师和同学积极参加！
报告人介绍：
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 before joining Purdue in Jan 2015. Dr. Zhang has published 114 journal articles; co-authored 7 book chapters; wrote one book; edited one book; and filed 11 patent applications (3 granted). 14 of his journal articles were selected as cover page highlights. His publications have been cited 6,000 citations with an h-index of 40. 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 AIAA Best Paper Award, IEEE ROBIO Best Conference Paper Award, Best of SIGGRAPH DisneyEmerging Technologies Award, the NSF CAREER award, Stony Brook University’s “Fortyunder 40 Alumni Award”, Discovery in Mechanical Engineering Award, and College of Engineering Early Career Faculty Research Excellence Awards from one Iowa State University and another Purdue University. Due to his contributions to high-speed, high-resolution 3D imaging and optical information processing, he was elected as the fellow of SPIE-International Society for Optics and Photonics, and the senior status of Optical Society of America (OSA).
报告摘要：
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 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 imaging 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 geometric 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 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 exploring including cardiac mechanics, forensic science, and entertainment.
