University at Buffalo

Computer Vision Basics

Taught in English

Some content may not be translated

78,695 already enrolled

Course

Gain insight into a topic and learn the fundamentals

Radhakrishna Dasari
Junsong Yuan

Instructors: Radhakrishna Dasari

4.2

(1,801 reviews)

Intermediate level

Recommended experience

12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

Details to know

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Assessments

9 quizzes

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There are 4 modules in this course

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.

What's included

13 videos2 readings3 quizzes1 app item1 plugin

In this module, we will discuss color, light sources, pinhole and digital cameras, and image formation.

What's included

4 videos1 reading3 quizzes2 app items

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.

What's included

5 videos1 reading2 quizzes1 app item

In this lecture, we will discuss the Mathematics used in Computer Vision, which includes linear algebra, calculus, probability, and much more.

What's included

8 videos2 readings1 quiz1 app item

Instructors

Instructor ratings
4.3 (412 ratings)
Radhakrishna Dasari
The State University of New York
4 Courses81,566 learners

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