CS 6475* (3-0-3): Computational Photography – (Instructor: Irfan Essa) – This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a (3D) scene to form an (2D) image. A detailed study of the perceptual, technical and computational aspects of forming pictures, and more precisely the capture and depiction of reality on a (mostly 2D) medium of images is undertaken over the entire term. The scientific, perceptual, and artistic principles behind image-making will be emphasized, especially as impacted and changed by computation. Topics include the relationship between pictorial techniques and the human visual system; intrinsic limitations of 2D representations and their possible compensations; and technical issues involving capturing light to form images. Technical aspects of image capture and rendering, and exploration of how such a medium can be used to its maximum potential, will be examined. New forms of cameras and imaging paradigms will be introduced. Students will undertake a hand-on approach over the entire term using computation techniques, merged with digital imaging processes to produce photographic artifacts.
DO NOTE that there are programming assignments in this class, and working knowledge of Linear Algebra, Calculus, Probability, and Programming in C++/Python/Matlab/Java will be required. OpenCV OR Matlab are used in this class as appropriate. More information on this class at Computational Photography Class Website.