In the first course of the Computer Vision for Engineering and Science specialization, you’ll be introduced to computer vision. You'll learn and use the most common algorithms for feature detection, extraction, and matching to align satellite images and stitch images together to create a single image of a larger scene.
Introduction to Computer Vision
Introduction to Computer Vision
This course is part of multiple programs.
Instructors: Amanda Wang
8,358 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.5
(44 reviews)
Intermediate level
Recommended experience
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Use common algorithms for feature detection, extraction, & matching
Perform image registration by identifying control points & estimating geometric transformations
Complete a final project where you stitch together images from NASA’s Mars Curiosity Rover
Combine images with image stitching to create panorama images
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
6 assignments
Taught in English
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There are 4 modules in this course
What's included
2 videos4 readings1 assignment1 discussion prompt
What's included
3 videos3 readings1 assignment1 discussion prompt
What's included
3 videos1 reading2 assignments
What's included
2 videos4 readings2 assignments1 app item1 discussion prompt1 plugin
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Frequently asked questions
Yes. A free license is available to learners enrolled in the course. You must have a computer capable of running MATLAB. You can view the system requirements here.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. 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.