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Georgia Institute of Technology

Computational Photography

Georgia Institute of Technology via Udacity

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Overview

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.

Syllabus

  • Introduction
    • What is Computational Photography?,Dual Photography,Panorama
  • Digital Imaging
    • Point Processes, Smoothing,Blending Modes, Convolution and Cross-Correlation,Gradients and Edges
  • Cameras
    • Lenses,Exposure,Sensor
  • Comp Vision to Comp Photo
    • Fourier Transform,Blending,Pyramids
  • Applications
    • Panorama,HDR,Time Lapse
  • Light Field
    • Lightfield,Lightfield Camera
  • Blue / De-Blur
    • Lucy-Richardon Blur,Flutter Shutter
  • Video
    • Video,Video Textures,Video Stabilization
  • Closing Thoughts

Taught by

Irfan Essa

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  • Krzysztof SzarzyÅ„ski

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