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

Computer Vision Basics
University at BuffaloAbout this Course
Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations
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Try Coursera for BusinessWhat 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
Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSyllabus - What you will learn from this course
Computer Vision Overview
Color, Light, & Image Formation
Low-, Mid- & High-Level Vision
Mathematics for Computer Vision
Reviews
- 5 stars55.71%
- 4 stars23.79%
- 3 stars10.58%
- 2 stars4.19%
- 1 star5.71%
TOP REVIEWS FROM COMPUTER VISION BASICS
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.
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.
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.
I just loved the course. I can see the difference in the amount of knowledge I got from this course. The person before this course and after this course are two different persons!
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