CMU 15-463: Computational Photography - The Diigo Meta page

• 21 Mar 11
  

  Carlos Afonso

  Antigos Computadores Fotografia Computacional

• 13 Apr 09
  

  raman srinivasan

  The aim of this advanced undergraduate course is to study ways in which samples from the real world (images and video) can be used to generate compelling computer graphics imagery. We will learn how to acquire, represent, and render scenes from digitized photographs. Several popular image-based algorithms will be presented, with an emphasis on using these techniques to build practical systems. This hands-on emphasis will be reflected in the programming assignments, in which students will have the opportunity to acquire their own images of indoor and outdoor scenes and develop the image analysis and synthesis tools needed to render and view the scenes on the computer.
  
  TOPICS TO BE COVERED:
  
  * Cameras, Image Formation
  * Image and Video Processing (filtering, anti-aliasing, pyramids)
  * Image Manipulation (warping, morphing, mosaicing, matting, compositing)
  * Data-driven Synthesis
  * Visual Perception
  * High Dynamic Range Imaging and Tone Mapping
  * Image-Based Lighting
  * Image-Based Rendering
  * Non-photorealistic Rendering
  
  PREREQUISITES:
  An introductory course in either Computer Graphics or Computer Vision or a solid knowledge of linear algebra and permission of the instructor.
  Graduate Students: a small number of graduate students will be allowed to take the graduate version of this course (15-862) with the permission of the instructor. Students taking 15-862 will be required to do more substratial assignments as well as a research-level final paper.
  Note: if the system doesn’t let you sign up, or puts you on the waitlist, do talk to me.

  computational photography

• 09 Apr 06
  

  tim A

  graphics

• 

  tim a

  graphics

• 01 Mar 06
  

  Gang Li

  teaching.units.sit361

• 19 Feb 06
  

  Fabio de Miranda

  Computational Photography is an emerging new field created by
  the convergence of computer graphics, computer vision and photography.
  Its role is to overcome the limitations of the traditional camera by
  using computational techniques to produce a richer, m

  computerVision graphics imageProcessing images programming computerGraphics photography

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