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Overview
They are equipped to identify some key application areas of computer vision and understand the digital imaging process.
The Computer Vision Basics course offered by Coursera in partnership with The State University of New York 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
Programme Structure
Courses include:
- Computer Vision Overview
- Color, Light, & Image Formation
- Low-, Mid- & High-Level Vision
- Mathematics for Computer Vision
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Web Technologies & Cloud Computing Machine Learning View 404 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
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Academic 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
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
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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