Endorsed by
Coursera 4.3 (9)
Overview
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 Computer Vision Basics is offered by Coursera in partnership with University at Buffalo and 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.
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
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Visit programme websiteProgramme Structure
Courses include:
- Computer Vision Overview
- Color, Light, & Image Formation
- Low-, Mid- & High-Level Vision
- Mathematics for Computer Vision
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- 4 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Computer Sciences Web Technologies & Cloud Computing Machine Learning View 737 other Short Courses in Computer Sciences in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
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. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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