Beyond human vision: computational imaging with light waves
Modern cameras systems have evolved to effectively capture light and have become essential tools for many applications. Developing such imaging systems has commonly required hand-crafted or heuristic rules set by human experts, and post-processing algorithms were devised in isolation with the imaging-system design. This results in sub-optimal performance and fundamentally limits its application domains. In this talk, I will present our work on capturing, analyzing, and exploiting overlooked dimensions of light waves such as polarization and spectrum through end-to-end designed imaging systems from optics to reconstruction algorithms. We demonstrate that this joint design approach permits understanding the high-dimensional visual information of the real world originating from complex interplays between light, material appearance, and geometry.
Seung-hwan Baek is an assistant professor at POSTECH. Before joining POSTECH, he worked as a post-doctoral research associate at Princeton University and holds a Ph.D. degree in Computer Science from KAIST. His research interests lie in computer graphics and computer vision with a particular focus on computational imaging and display. His work aims to capture, model, and analyze the high-dimensional visual information of the real world originating from complex interplays between light, material appearance, and geometry. To this end, he designs end-to-end computational imaging and display systems for fundamental scientific analysis as well as diverse application domains.
-Zoom Meeting ID: 977 5406 0329 / Passcode: 251664