Computational Photography

Online Course

Udacity
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Computational Photography
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Computational Photography
The course Computational Photography is an online class provided by Udacity. The skill level of the course is Intermediate. It may be possible to receive a verified certification or use the course to prepare for a degree.

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.

Course description
  • Computational Photography
  • 4 months
  • Offered at Georgia Tech as CS 6475
  • 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.
  • Introduction
  • Digital Imaging
  • Cameras
  • Comp Vision to Comp Photo
  • Applications
  • Light Field
  • Blue / De-Blur
  • Video
  • Closing Thoughts
  • What is Computational Photography?
  • Dual Photography
  • Panorama
  • Point Processes, Smoothing
  • Blending Modes, Convolution and Cross-Correlation
  • Gradients and Edges
  • Lenses
  • Exposure
  • Sensor
  • Fourier Transform
  • Blending
  • Pyramids
  • Panorama
  • HDR
  • Time Lapse
  • Lightfield
  • Lightfield Camera
  • Lucy-Richardon Blur
  • Flutter Shutter
  • Video
  • Video Textures
  • Video Stabilization
  • 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 Technology Requirements for using Udacity.
  • You will undertake a hands-on approach over the entire term using computational techniques, merged with digital imaging processes to produce photographic artifacts. In addition to understanding how various elements of the computational photography pipeline function together to produce novel – and sometimes stunning – results, you will be given ample opportunity to appreciate and critique artifacts produced/curated by your peers.
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Prerequisites & Facts

Computational Photography

Course Topic

Happiness, Personal Development

University, College, Institution

Udacity

Course Skill Level

Intermediate
see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Computational Photography

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udacity
Computational Photography
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Reviews

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Here you can find information, reviews and user experiences for the course “Computational Photography“. The provider of the course – “Udacity” – will be glad to answer any questions you may have about the class, click here to use the offical support channels. It would be great if you could share your experience of participating in the course – Your honest review will surely help others to choose the right class!
School: Udacity
Topic: Artificial Intelligence

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