date_range Débute le 25 mars 2013
event_note Se termine le 29 avril 2013
list 5 séquences
assignment Niveau : Introductif
chat_bubble_outline Langue : Anglais
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Les infos clés

credit_card Formation gratuite
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timer 25 heures de cours

En résumé

In this course you will learn about the basics of how computation has impacted the entire workflow of photography (i.e., from how images are captured, manipulated and collaborated on, and shared).

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Le programme

Week 0 (Module 0):  Introductions with an overview of the course structure and content.  Topics covered in this module include a description of what is Computational Photography (i.e., whereby examples of dual photography and panoramas are described) and reasons for studying this emerging interdisciplinary field .

Week 1 (Module 1):  Overview of what is a digital image.  Topics covered in this module are image processing and filtering, with emphases placed upon point processes, smoothing, convolution, cross-correlation, gradients and edges.

Week 2 (Module 2):  Overview of cameras with emphases placed upon the pinhole camera and optics (e. g., lenses, focal length), exposure time and sensors.          

Week 3 (Module 3):  Feature detection, matching and correspondence. The panorama pipeline and some examples. HDR and tone mapping.

Week 4 (Module 4): Overview of light fields, texture synthesis, image retargeting, video, advanced topics.

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Les intervenants

  • Irfan Essa - School of Interactive Computing
  • - Georgia Tech Professional Education
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Le concepteur

The Georgia Institute of Technology is one of the nation's top research universities, distinguished by its commitment to improving the human condition through advanced science and technology. Georgia Tech's campus occupies 400 acres in the heart of the city of Atlanta, where more than 20,000 undergraduate and graduate students receive a focused, technologically based education.
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La plateforme

Coursera est une entreprise numérique proposant des formation en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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