Computational Displays for VR/AR/MR Enhancement
Talk by Yifan Evan Peng (Standford University)
28 October 2019 | 14:00
SR Franz Leberl
Inffeldgasse 16/II, 8010 Graz
Abstract
Holographic displays and their geometric optics equivalent, light field displays, are enabling technologies that can enhance future VR/AR/MR applications. Incorporating a combination of advances in both hardware and software, we investigate several computational displays towards representing true-to-life visualization experiences. On the one hand, we propose a table-top light field display that enables full-color, full-parallax scene representation for multiple users with mid-air interactions. This is achieved by incorporating a spinning-type light field generation engine and content-adaptive image rendering. On the other hand, we investigate the realization of multiplexed holograms for display applications. In particular, we combine different geometric alignments of fabricated phase masks with complex matrix factorization to enable mix-and-match holography. In addition, we leverage the math connection between holograms and light fields to develop the overlap-add stereogram algorithm. This allows for the generation of high quality holograms from light field information, enabling light field-driven holographic near-eye displays.
Bio
Yifan (Evan) Peng is a Postdoc Research Fellow at Stanford Electrical Engineering. He received his PhD in Computer Science at The University of British Columbia, in May 2018. During the years of 2015-2018, he was a Visiting Research Student at Computational Imaging Group, Stanford University, and a Remote (Visiting) Researcher at Visual Computing Center, King Abdullah University of Science and Technology.
Prior to joining UBC, he worked at Lenovo Research as a Display Tech Researcher in 2013. Before that, he obtained his MSc and BE degrees both in Optical Science and Engineering from State Key Lab of Modern Optical Instrumentation, Zhejiang University. His research interests ride across the interdisciplinary fields of optics/photonics, graphics, and vision.
Currently, he focuses on developing new imaging modalities with the combination of optics and algorithms. Much of his work concerns computational imaging solutions, including capture end and display end, as well as AR/MR enhancement.