Computational Photography

Study ways in which samples from the real world (images and video) can be used to generate compelling computer graphics imagery.

Course Number: 15-463

Computational Photography is an emerging new field created by the  convergence of computer graphics, computer vision and  photography. Its role is to overcome the limitations of the  traditional camera by using computational techniques to produce a  richer, more vivid, perhaps more perceptually meaningful  representation of our visual world.    The aim of this advanced undergraduate course is to study ways in  which samples from the real world (images and video) can be used to  generate compelling computer graphics imagery. We will learn how to  acquire, represent, and render scenes from digitized photographs.  Several popular image-based algorithms will be presented, with an  emphasis on using these techniques to build practical systems. This  hands-on emphasis will be reflected in the programming assignments, in  which students will have the opportunity to acquire their own images  of indoor and outdoor scenes and develop the image analysis and  synthesis tools needed to render and view the scenes on the computer.

Fall 2016 instructor: Kris Kitani

Fall 2014 course website: Computational Photography

Course Type: Supportive Course
Offered By: Computer Science
Program: Animation & Special Effects

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