4.2
stars
1,749 ratings

Radhakrishna Dasari +1 more instructor

72,257 already enrolled

Offered By

University at Buffalo

The State University of New York

Computer Vision Basics

University at Buffalo

About this Course

17,869 recent views

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. 
This course is ideal for anyone curious about or interested in exploring the concepts of computer vision. It is also useful for those who desire a refresher course in mathematical concepts of computer vision. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). 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) and basic probability (random variables).  

Material includes online lectures, videos, demos, hands-on exercises, project work, readings and discussions. Learners gain experience writing computer vision programs through online labs using MATLAB* and supporting toolboxes.

 * A free license to install MATLAB for the duration of the course is available from MathWorks.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

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

Approx. 13 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

What you will 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

Skills you will gain

Computer Vision
Computer Programming
Matlab

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

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

Approx. 13 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Instructors

Instructor rating

4.29/5 (402 Ratings)

Radhakrishna Dasari

Instructor

Department of Computer Science

75,139 Learners

4 Courses

Junsong Yuan

Associate Professor and Director of Visual Computing Lab

Computer Science and Engineering

75,139 Learners

4 Courses

Offered by

University at 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.

The State University of New 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.

Syllabus - What you will learn from this course

Content Rating96%(8,174 ratings)

Week

Week 1

4 hours to complete

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.

4 hours to complete

13 videos (Total 42 min), 2 readings, 4 quizzes

13 videos

Meet Jeff Bier1m

Meet Jungsong Yuan, Ph.D.24s

What is Computer Vision?6m

Why Computer Vision?40s

Related Fields of Computer Vision4m

Relevant Fields56s

Computer Programming & Computer Vision1m

Computer Vision Awareness1m

Timelines & Milestones8m

Computer Vision Progression1m

Computer Vision Applications8m

CV Applications4m

CV Impact in the Field of Augmented Reality1m

2 readings

Resources (Optional): Computer Vision Overview30m

REQUIRED - MATLAB Resources10m

3 practice exercises

What is Computer Vision?30m

Related Fields of Computer Vision30m

MATLAB Basics5m

Week

Week 2

5 hours to complete

Color, Light, & Image Formation

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

5 hours to complete

4 videos (Total 32 min), 1 reading, 5 quizzes

Week

Week 3

3 hours to complete

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.

3 hours to complete

5 videos (Total 32 min), 1 reading, 3 quizzes

Week

Week 4

2 hours to complete

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 hours to complete

8 videos (Total 10 min), 2 readings, 2 quizzes

Reviews

4.2

496 reviews

5 stars
55.19%
4 stars
24.20%
3 stars
10.61%
2 stars
4.28%
1 star
5.70%

TOP REVIEWS FROM COMPUTER VISION BASICS

by AOApr 28, 2020

Lays a good foundation for Computer Vision. There should be more programming examples as some of the labs were beyond the scope of what was taught in the videos, especially the last one.

by PWMay 22, 2020

The course is fine, but it's too fundamental. Overall, it is more suit to personal who already had the fundamental in image processing knowledge. Else the course is a but higher level for others.

by 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.

by NRJun 22, 2020

It was a challenging course and enjoyable course, especially using MatLab.

I would like to thank the instructors for their efforts in putting this together.

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Are there any prerequisites?
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.

More questions? Visit the Learner Help Center.

Computer Vision Basics

Computer Vision Basics