Curso gratuito

Computational Photography

by
Georgia Institute of Technology

Offered at Georgia Tech as CS 6475

Programa Nanodegree

Desenvolvedor de Realidade Virtual

byGoogle VR

Evolua em sua carreira com um certificado que antecipa seu sucesso profissional.

Sobre este curso

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.

Legendas
Inglês
Tempo estimadoTempo total entre hoje e dia da formatura depende do seu compromisso semanal. Em média, os nossos graduados completam este nanodegree em 4 meses
Aprox. 4 meses
Nível de conhecimento
intermediário
Incluído no produto

Videoaulas

Testes interativos

Aulas com profissionais do setor

Ritmo individual de aprendizado

Comunidade de apoio aos alunos

Juntos rumo ao sucesso

Este curso é seu primeiro passo em direção a uma carreira com o programa Desenvolvedor de Realidade Virtual .

Curso gratuito

Computational Photography

porGeorgia Institute of Technology

Aumente seu conjunto de habilidades e suas chances de contratação com um modelo de aprendizagem inovador e independente.

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Pré-requisitos e exigências

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.

Veja os requisitos tecnológicos necessários para fazer um curso na Udacity.

Responsáveis pelo curso

Irfan Essa

Irfan Essa

Instrutor

David Joyner

David Joyner

Instrutor

Arpan Chakraborty

Arpan Chakraborty

Instrutor

Por que fazer este curso?

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.

Quais são os benefícios?
Vídeos dos instrutoresExercícios práticosAulas com profissionais do setor