About this Course

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.

Course Cost
Free
Timeline
Approx. 4 months
Skill Level
Intermediate
Included in Course
  • Rich Learning Content

  • Interactive Quizzes

  • Taught by Industry Pros

  • Self-Paced Learning

  • Student Support Community

Join the Path to Greatness

This free course is your first step towards a new career with the VR Developer Nanodegree Program.

Free Course

Computational Photography

by Georgia Institute of Technology

Enhance your skill set and boost your hirability through innovative, independent learning.

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Course Leads

  • Irfan Essa
    Irfan Essa

    Instructor

  • David Joyner
    David Joyner

    Instructor

  • Arpan Chakraborty
    Arpan Chakraborty

    Instructor

What You Will Learn

Lesson 1

Introduction

  • What is Computational Photography?
  • Dual Photography
  • Panorama
Lesson 1

Introduction

  • What is Computational Photography?
  • Dual Photography
  • Panorama
Lesson 2

Digital Imaging

  • Point Processes, Smoothing
  • Blending Modes, Convolution and Cross-Correlation
  • Gradients and Edges
Lesson 2

Digital Imaging

  • Point Processes, Smoothing
  • Blending Modes, Convolution and Cross-Correlation
  • Gradients and Edges
Lesson 3

Cameras

  • Lenses
  • Exposure
  • Sensor
Lesson 3

Cameras

  • Lenses
  • Exposure
  • Sensor
Lesson 4

Comp Vision to Comp Photo

  • Fourier Transform
  • Blending
  • Pyramids
Lesson 4

Comp Vision to Comp Photo

  • Fourier Transform
  • Blending
  • Pyramids
Lesson 5

Applications

  • Panorama
  • HDR
  • Time Lapse
Lesson 5

Applications

  • Panorama
  • HDR
  • Time Lapse
Lesson 6

Light Field

  • Lightfield
  • Lightfield Camera
Lesson 6

Light Field

  • Lightfield
  • Lightfield Camera
Lesson 7

Blue / De-Blur

  • Lucy-Richardon Blur
  • Flutter Shutter
Lesson 7

Blue / De-Blur

  • Lucy-Richardon Blur
  • Flutter Shutter
Lesson 8

Video

  • Video
  • Video Textures
  • Video Stabilization
Lesson 8

Video

  • Video
  • Video Textures
  • Video Stabilization
Lesson 9

Closing Thoughts

Lesson 9

Closing Thoughts

Prerequisites and Requirements

Students should be familiar with:

  • College-level linear algebra and calculus: Knowledge of matrices, vectors, differentiation and integration, although the focus will be more on understanding and applying mathematical structures - not necessarily deriving your own;
  • Physics: Vectors, optics;
  • Probability theory: Distributions, density functions.

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.

Why Take This Course

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.

What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals
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