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

Instructors

Instructor rating3.64/5 (31 Ratings)Info
Image of instructor, Radhakrishna Dasari

Radhakrishna Dasari 

Instructor
Department of Computer Science
11,079 Learners
4 Courses
Image of instructor, Junsong Yuan

Junsong Yuan 

Associate Professor and Director of Visual Computing Lab
Computer Science and Engineering
11,079 Learners
4 Courses

Offered by

University at Buffalo logo

University at Buffalo

The State University of New York logo

The State University of New York

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Computer Vision Overview

3 hours to complete
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

Week 2

3 hours to complete

Color, Light, & Image Formation

3 hours to complete
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

Week 3

2 hours to complete

Low-, Mid- & High-Level Vision

2 hours to complete
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

Week 4

2 hours to complete

Mathematics for Computer Vision

2 hours to complete
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
3.9
67 ReviewsChevron Right

Top reviews from Computer Vision Basics

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.

By SVJul 21st 2019

Course was very well designed, it is the best course for beginners.

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.

More questions? Visit the Learner Help Center.