1. Computational Photography

Full-Day, 8:30 am - 5:30 pm
Level: Intermediate
Room 6DE

Camera fundamentals, powerful computational tools, and many real world examples of the latest computational methods in digital imaging that overcome the traditional limitations of a camera and enable novel imaging applications. This course provides a practical guide to topics in image capture and manipulation methods for generating compelling pictures for computer graphics and for extracting scene properties for computer vision.


A basic understanding of camera operation and image processing. Familiarity with concepts of linear systems, convolution, and machine vision will be useful.

Intended Audience

Photographers, digital artists, image processing programmers, and vision researchers who use or build applications for digital cameras or images.


Ramesh Raskar
Mitsubishi Electric Research Laboratories (MERL)
raskar (at) merl.com

Jack Tumblin
Northwestern University
jet (at) cs.northwestern.edu


Andrew Davidhazy
Rochester Institute of Technology

Todor Georgiev
Adobe Systems Incorporated

Marc Levoy
Stanford University

Shree Nayar
Columbia University