Computer Vision News - April 2021

17 Grace Kuo fields-of-view. We overcame this challenge by adding our diffuser into the system. The diffuser scatters light to higher angles, expanding the field-of- view with simple, static hardware . As before, we model light propagation through the system and use optimization-based approaches to compensate for the diffuser when computing the hologram. For more information, read the full publications on 3D DiffuserCam, fluorescence microscopy with DiffuserCam, and diffuser-based holographic displays. We also have a great tutorial on how to build your own DiffuserCam with a Raspberry Pi camera and scotch tape as the diffuser! * I’d like to acknowledge my advisors Laura Waller and Ren Ng , who worked with me on all of these projects, and my co-authors, Nick Antipa (DiffuserCam) and Andrew Maimone (holographic displays). This work wouldn’t have been possible without them. Capturing 3D content in a single acquisition enables faster 3D video, which is particularly useful for biological samples. With this in mind, we redesigned DiffuserCam for fluorescence microscopy and demonstrated 10x higher resolution than our original prototype. The ideas of DiffuserCam are not limited to image capture; they can also be applied to display systems. For example, holographic displays are a promising technology that can generate 3D content but suffer from limited