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Georgia Institute of Technology

Computational Photography

Georgia Institute of Technology via Udacity

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, David Joyner and Arpan Chakraborty

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  • Krzysztof Szarzyński

    Krzysztof Szarzyński completed this course.

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