Informações sobre o curso

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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário

Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations

Aprox. 10 horas para completar
Inglês
Legendas: Inglês

O que você vai aprender

  • Understand what computer vision is and its goals

  • Identify some of the key application areas of computer vision

  • Understand the digital imaging process

  • Apply mathematical techniques to complete computer vision tasks

Habilidades que você terá

Computer VisionComputer ProgrammingMatlab
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário

Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations

Aprox. 10 horas para completar
Inglês
Legendas: Inglês

oferecido por

Logotipo de Universidade de Buffalo

Universidade de Buffalo

Logotipo de Universidade Estadual de Nova York

Universidade Estadual de Nova York

Programa - O que você aprenderá com este curso

Classificação do conteúdoThumbs Up96%(4,462 classificações)Info
Semana
1

Semana 1

3 horas para concluir

Computer Vision Overview

3 horas para concluir
13 vídeos (Total 42 mín.), 2 leituras, 4 testes
13 videos
Meet Jungsong Yuan, Ph.D.24s
What is Computer Vision?6min
Why Computer Vision?40s
Related Fields of Computer Vision4min
Relevant Fields56s
Computer Programming & Computer Vision1min
Computer Vision Awareness1min
Timelines & Milestones8min
Computer Vision Progression1min
Computer Vision Applications8min
CV Applications4min
CV Impact in the Field of Augmented Reality1min
2 leituras
Resources (Optional): Computer Vision Overview30min
REQUIRED - MATLAB Resources10min
3 exercícios práticos
What is Computer Vision?2min
Related Fields of Computer Vision2min
MATLAB Basics5min
Semana
2

Semana 2

3 horas para concluir

Color, Light, & Image Formation

3 horas para concluir
4 vídeos (Total 32 mín.), 1 leitura, 5 testes
4 videos
Pinhole Camera Model9min
Digital Camera5min
Color Theory8min
1 leituras
Resources (Optional): Color, Light, & Image Formation30min
3 exercícios práticos
Light Sources4min
Pinhole Camera Model2min
Digital Camera2min
Semana
3

Semana 3

2 horas para concluir

Low-, Mid- & High-Level Vision

2 horas para concluir
5 vídeos (Total 32 mín.), 1 leitura, 3 testes
5 videos
Low-, Mid-, High-Level Vision1min
Low-Level Vision8min
Mid-Level Vision7min
High-Level Vision6min
1 leituras
Resources (Optional): Low-, Mid- and High-Level Vision30min
2 exercícios práticos
Three-Level Paradigm2min
Low-Level Vision2min
Semana
4

Semana 4

2 horas para concluir

Mathematics for Computer Vision

2 horas para concluir
8 vídeos (Total 10 mín.), 2 leituras, 2 testes
8 videos
Mathematical Preliminaries27s
Linear Algebra1min
Calculus45s
Probability Theory35s
Algorithms38s
Using Algorithms1min
Aligning RGB channels2min
2 leituras
Resources (Optional): Mathematics for Computer Vision30min
Computer Vision Basics - Key Takeaways10min
1 exercício prático
Algorithms2min

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Perguntas Frequentes – FAQ

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  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

  • Learners should have basic programming skills and experience (understanding of for loops, if/else statements). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration), basic probability (random variables), and 3D co-ordinate systems & transformations.

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