Computational Photography
This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a 3D scene to form a 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.
Prerequisites and Requirements: Students should be familiar with:Programming assignments for this course can be completed either using Python-OpenCV (recommended platform) or Matlab/Octave. Working knowledge of either Python or Matlab would thus be required.See the for using Udacity.
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Length | Approx. 4 months |
Starts | On Demand (Start anytime) |
Cost | $0 |
From | Udacity |
Instructors | Irfan Essa, David Joyner, Arpan Chakraborty |
Download Videos | Only via web browser |
Language | English |
Subjects | Programming |
Tags | Computer Science Software Development |
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Rating | Not enough ratings |
---|---|
Length | Approx. 4 months |
Starts | On Demand (Start anytime) |
Cost | $0 |
From | Udacity |
Instructors | Irfan Essa, David Joyner, Arpan Chakraborty |
Download Videos | Only via web browser |
Language | English |
Subjects | Programming |
Tags | Computer Science Software Development |
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