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.
Offered By
University at Buffalo
The State University of New York
Computer Vision Basics
University at BuffaloAbout this Course
303,863 recent views
Shareable Certificate
Earn a Certificate upon completion
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. 10 hours to complete
English
Subtitles: English
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 VisionComputer ProgrammingMatlab
Shareable Certificate
Earn a Certificate upon completion
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. 10 hours to complete
English
Subtitles: English
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
3 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.
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
3 hours to complete
Color, Light, & Image Formation
In this module, we will discuss color, light sources, pinhole and digital cameras, and image formation.
3 hours to complete
4 videos (Total 32 min), 1 reading, 5 quizzes
1 reading
Resources (Optional): Color, Light, & Image Formation30m
3 practice exercises
Light Sources4m
Pinhole Camera Model2m
Digital Camera2m
2 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.
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
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
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
Frequently Asked Questions
When will I have access to the lectures and assignments?
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.
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.
What is the refund policy?
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.
More questions? Visit the Learner Help Center.
