By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks.
oferecido por
Universidade de Buffalo
Universidade Estadual de Nova York
Computer Vision Basics
Universidade de Buffalo
Informações sobre o curso
154,223 visualizações recentes
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. 15 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. 15 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade de Buffalo
The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs.
Universidade Estadual de Nova York
The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.
Programa - O que você aprenderá com este curso
3 horas para concluir
Computer Vision Overview
In this module, we will discuss what computer vision is, the fields related to it, the history and key milestones of it, and some of its applications.
3 horas para concluir
13 vídeos (Total 42 mín.), 2 leituras, 4 testes
13 videos
Meet Jeff Bier1min
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
3 horas para concluir
Color, Light, & Image Formation
In this module, we will discuss color, light sources, pinhole and digital cameras, and image formation.
3 horas para concluir
4 vídeos (Total 32 mín.), 1 leitura, 5 testes
1 leituras
Resources (Optional): Color, Light, & Image Formation30min
3 exercícios práticos
Light Sources4min
Pinhole Camera Model2min
Digital Camera2min
2 horas para concluir
Low-, Mid- & High-Level Vision
In this module, we will discuss the three-level paradigm of computer vision that was proposed by David Marr. We will also discuss low, mid, and 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
2 horas para concluir
Mathematics for Computer Vision
In this lecture, we will discuss the Mathematics used in Computer Vision, which includes linear algebra, calculus, probability, and much more.
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
Avaliações
Principais avaliações do COMPUTER VISION BASICS
por LMAug 10, 2019
It is a good introduction course but I think some more demo coding for matlab in the first assignments will be a good thing so we don´t have to spend a lot of time on google and on trial and error.
por PSOct 12, 2019
Course was great ! And explained well but Matlab was not explained well. It's hard to complete week-4 assignment if you are not good at Matlab. Please provide python language for solving problems.
por AAJul 30, 2019
Overall great, howeve the last assignment needed more help/background from the instructors than provided. I pass 96% of the class but still was not able to get the certificate.
por KSJun 16, 2019
I would like to thank my course instructor. It is a short introductory course.\n\nIt's interesting and have pushed me to further complete other courses in the specialization.
por MNOct 5, 2019
The content of the course helped me get the basics of computer vision. I am looking forward to learning more. the most interesting part were solving the Matlab assignments
por APMay 8, 2019
I would like it to be more dense on content. It gives overview of many areas without diving into details. The labs feel somewhat disjointed from the rest of the course.
por PPNov 28, 2019
This is a very basic overview to computer vision. It teaches how to use MATLAB very well. Assignments were challenging enough. Course content were not in-depth.
por AAMay 5, 2019
The course content is good.There are too many examples and applications.I use python but using MATLAB for the computer vision is new experience for me.
por ZZJun 14, 2019
I was hoping there would be more material on the Mathematics of Computer Vision. Overall, as stated, it is a good introduction to the basics.
por PPApr 4, 2020
Course was good.It gave a good understanding of CV.It would be better if the elaborate more on how the concepts can be implemented on MATLAB.
por GBSep 18, 2019
Need more videos on hands on tutorial and videos on computer vision techniques such as denoiseing,debluring need to be provided
por ASOct 18, 2019
It was nice to start with the first course in Coursera. Hope courses will more conceptual rather than based on hit and trial.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao adquirir o Certificado?
Quando você adquire o Certificado, ganha acesso a todo o material do curso, incluindo avaliações com nota atribuída. Após concluir o curso, seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?
Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.
