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Learner Reviews & Feedback for Introduction to Computer Vision by MathWorks

4.5
stars
46 ratings

About the Course

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. Features are used in applications like motion estimation, object tracking, and machine learning. You’ll use features to estimate geometric transformations between images and perform image registration. Registration is important whenever you need to compare images of the same scene taken at different times or combine images acquired from different scientific instruments, as is common with hyperspectral and medical images. You will use MATLAB throughout this course. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your computer vision tasks. You will be provided free access to MATLAB for the course duration to complete your work. To be successful in this course, it will help to have some prior image processing experience. If you are new to image data, it’s recommended to first complete the Image Processing for Engineering and Science specialization....
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1 - 10 of 10 Reviews for Introduction to Computer Vision

By Sandipan D

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Dec 30, 2022

Excellent!

By PENDYALA S C .

•

Sep 9, 2024

well

By MAILE J .

•

Sep 7, 2024

well

By Navjot S

•

Aug 31, 2023

good

By Jeremy S

•

Sep 20, 2024

Excellent course, is very in depth and requires some familiarity with Matlab and image processing

By ANANT P S R

•

Nov 22, 2023

good

By Abhishek S

•

Aug 24, 2023

bnerwjd

By Parikh R S

•

Jun 24, 2023

MathWork is not working appropriately as mentioned in the course. Facing many tachnical issues while working on this. No guidance is provided for it

By Shayan S

•

Dec 19, 2023

impossible last question of last quiz it keeps saying your image could be improved and im 99% done the course its a scam lol

By Akash k

•

Jun 22, 2024

Not beginner friendly. Worst course i have ever seen.