Notes
Abstract or Additional Information
Computational photography is a new field at the intersection of signal processing, optics, and computer graphics. Instead of capturing 2D spatial information in a conventional photo, computational photography aims to capture information about angle, depth, lighting, wavelength, time, and other extra information about light. Questions answered include: how does the Microsoft Kinect work? Can a camera see around corners? Can light be visualized propagating through a medium? For an in-depth case example, I will focus on my research constructing diffractive image sensors and using sparse optimization and compressed sensing to recover 3D scenes. This talk will be suitable for an undergraduate mathematics major who solely needs to know what integrals and matrix multiplications are, everything else will be explained. I guarantee that everyone will learn something new from this talk. (Note: This talk will be Tuesday in Thackeray 704 from 2:30-3:30.)