GAMES Webinar 2020 – 126期（计算成像专题）|Yifan (Evan) Peng(Stanford University),Xiong Dun(Tongji University)
【GAMES Webinar 2020-126期】（计算成像专题）
报告嘉宾1：Yifan (Evan) Peng，Stanford University
报告时间：2020年1月9日 上午10:30-11:30（北京时间）
报告题目：Co-design of Optics & Algorithm: Computational Imaging with Wave Optics
报告摘要：
Modern photography technology has become a ubiquitous tool in daily life. The tendency is to enable co-design of optics and algorithms to boost high-quality imaging with compact form factor optics. To this end, wave optics is a perfect platform for the research of computational imaging. Despite the benefits of facilitating compact form factors, diffractive optical elements (DOEs) have sufficient degrees of freedom that one can manipulate to encode the desirable light modulation functionality. We theoretically and experimentally investigate the practicability of introducing numerical optimization into the co-design procedure of ultrathin diffractive optics and image processing algorithms. We anticipate enabling more powerful computational camera properties (e.g., extended depth of field, wide field of view, high dynamic range, focus tunable, full-spectrum imaging, etc.) with more compact form factors. This imaging modality can be very promising in the consumer-level camera market as well as many scientific imaging scenarios. Computational imaging with wave optics provides new insights on incorporating optics and computational algorithms to better record, understand, and deliver desirable visual information under the constraint of current data bandwidth of hardware.
讲者简介：
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 interest rides 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 VR/AR/MR enhancement. He has served as the committee of OSA Imaging & Applied Optics Congress’20’, IEEE ICCP’20, SPIE Photonics Asia’19, SID Technical Symposium’20, and the reviewer for several OSA, NPG, and IEEE journals, and for ACM SIGGRAPH & SIGGRAPH Asia, Euro-graphics, ACM CHI, AsiaGraphics CVM.
讲者个人主页:http://web.stanford.edu/~evanpeng/
报告嘉宾2：Xiong Dun，Tongji University
报告时间：2020年1月9日 上午11:30-12:00（北京时间）
报告题目：Joint-designed achromatic diffractive optical element for full-spectrum computational imaging
报告摘要：
Diffractive optical elements (DOEs) are promising lens candidates in computational imaging because they can drastically reduce the size and weight of image systems. The inherent strong dispersion hinders the direct use of DOEs in full spectrum imaging, causing an unacceptable loss of color fidelity. In this talk, we investigate the joint optimization of achromatic DOE and image processing using a full differentiable optimization model that maps the actual source image to the reconstructed one. We jointly optimize the physical height of DOEs and the parameters of image processing block to minimize the errors over a hyperspectral image dataset. Simulation and real experiment results show that the proposed joint design outperforms conventional methods in preserving higher image fidelity.
讲者简介：
Dr. Xiong Dun currently is a research associate at Tongji Unversity. He received his Ph.D. degree in optical engineering from Beijing Institute of Technology in 2016 and BS degree in EE from Harbin Institute of Technology in 2007. He has worked with Professor Wolfgang Heidrich as a Postdoctoral Fellow at Visual Computing Center, King Abdullah University of Science and Technology (KAUST) from 2016 to 2019.
He is interesting in computational imaging and the relative technology, especially the joint design between the optical system and image processing. He has published more than 15 peer reviewed papers. Including ACM TOG, Optical Express, Science Report, Optical Engineering, etc. He was also invited to be a reviewer of OSA and SPIE
讲者个人主页：https://vccimaging.org/People/dunx/
主持人简介：
王锐，浙江大学CAD&CG国家重点实验室教授，博士生导师。2007年博士毕业于浙江大学数学系。主要研究方向为图形渲染理论、算法与框架，在复杂光场高效采样、实时渲染算法、渲染架构的自动优化等方面取得了一系列创新科研成果。
详见：http://www.cad.zju.edu.cn/home/rwang
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