Conference 5–9 August 2012
Exhibition 7–9 August 2012
Los Angeles Convention Center

Computational Displays

Los Angeles Convention Center, Room 408B

This course provides the first comprehensive overview of computational displays for the graphics community. These display architectures employ co-design of optical elements, efficient computational processing, computationally tractable models for human perception, and advanced mathematical analysis.

The course reviews all aspects of computational displays in detail, from concept introduction to a variety of example displays that exploit joint design of optical components and computational processing for applications such as high-dynamic-range and wide-color-gamut display, extended depth-of-field projection, and high-dimensional information display for computer-vision applications. In particular, the course focuses on how high-speed displays, multiple stacked LCDs, and directional backlighting combined with advanced mathematical analysis and efficient computational processing provide the foundations of 3D displays of the future. It also reviews psycho-physiological aspects that are of importance for display design and demonstrates how perceptually driven computational displays can enhance the capability of current technology.


2 pm
Introduction and Overview
Computational Displays as a Next-generation Display Technology

2:25 pm
Computational Light Field Displays - Hardware Architectures, Fabrication, Content Generation, and Optimization
Lanman and Hirsch

3 pm
Perceptually-Driven Computational Displays

3:20 pm
Summary and Q&A




Some familiarity with Matlab, C/C++, and OpenGL. General understanding of linear algebra and Fourier analysis.

Intended Audience

All researchers and students in fields related to computational displays, including computer graphics and vision, computational photography, mathematics, optics, and human perception. While this is an intermediate-level course, it also provides an intuitive overview of display technology for attendees without any technical background.


Gordon Wetzstein
MIT Media Lab

Douglas Lanman
MIT Media Lab

Diego Gutierrez
Universidad de Zaragoza

Matthew Hirsch
MIT Media Lab