About this Course
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100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

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

Approx. 12 hours to complete

English

Subtitles: English

What you will learn

  • Check

    Understand what computer vision is and its goals

  • Check

    Identify some of the key application areas of computer vision

  • Check

    Understand the digital imaging process

  • Check

    Apply mathematical techniques to complete computer vision tasks

Skills you will gain

Computer VisionComputer ProgrammingMatlab

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

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

Approx. 12 hours to complete

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
3 hours to complete

Computer Vision Overview

13 videos (Total 42 min), 2 readings, 4 quizzes
13 videos
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?2m
Related Fields of Computer Vision2m
MATLAB Basics5m
Week
2
3 hours to complete

Color, Light, & Image Formation

4 videos (Total 32 min), 1 reading, 5 quizzes
4 videos
Pinhole Camera Model9m
Digital Camera5m
Color Theory8m
1 reading
Resources (Optional): Color, Light, & Image Formation30m
3 practice exercises
Light Sources4m
Pinhole Camera Model2m
Digital Camera2m
Week
3
2 hours to complete

Low-, Mid- & High-Level Vision

5 videos (Total 32 min), 1 reading, 3 quizzes
5 videos
Low-, Mid-, High-Level Vision1m
Low-Level Vision8m
Mid-Level Vision7m
High-Level Vision6m
1 reading
Resources (Optional): Low-, Mid- and High-Level Vision30m
2 practice exercises
Three-Level Paradigm2m
Low-Level Vision2m
Week
4
2 hours to complete

Mathematics for Computer Vision

8 videos (Total 10 min), 2 readings, 2 quizzes
8 videos
Mathematical Preliminaries27s
Linear Algebra1m
Calculus45s
Probability Theory35s
Algorithms38s
Using Algorithms1m
Aligning RGB channels2m
2 readings
Resources (Optional): Mathematics for Computer Vision30m
Computer Vision Basics - Key Takeaways10m
1 practice exercise
Algorithms2m
3.8
59 ReviewsChevron Right

Top reviews from Computer Vision Basics

By AMJun 15th 2019

This course is a good course to start computer vision for beginner level student, and I offer This course to everyone who is eager to learn computer vision conceptually.

By AAMay 6th 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.

Instructors

Avatar

Radhakrishna Dasari

Instructor
Department of Computer Science
Avatar

Junsong Yuan

Associate Professor and Director of Visual Computing Lab
Computer Science and Engineering

About University at Buffalo

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Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

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