1. Computational Photography
Full-Day, 8:30 am - 5:30 pm
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.
PrerequisitesA basic understanding of camera operation and image processing. Familiarity with concepts of linear systems, convolution, and machine vision will be useful.
Intended AudiencePhotographers, digital artists, image processing programmers, and vision researchers who use or build applications for digital cameras or images.
Mitsubishi Electric Research Laboratories (MERL)
raskar (at) merl.com
jet (at) cs.northwestern.edu
Rochester Institute of Technology
Adobe Systems Incorporated