KS
4.0Reviewed Jun 16, 2019
I would like to thank my course instructor. It is a short introductory course.It's interesting and have pushed me to further complete other courses in the specialization.
Computer Vision Basics
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. This course is ideal for anyone curious about or interested in exploring the concepts of computer vision. It is also useful for those who desire a refresher course in mathematical concepts of computer vision. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables). Material includes online lectures, videos, demos, hands-on exercises, project work, readings and discussions. Learners gain experience writing computer vision programs through online labs using MATLAB* and supporting toolboxes. * A free license to install MATLAB for the duration of the course is available from MathWorks.
Status: AI literacy
Status: Calculus
IntermediateCourse13 hours
Featured reviews
CM
5.0Reviewed May 14, 2020
Nice Course. I'm very hard to study and practice to passed the assignment. And that could give the experience on matlab including Image Processing skills. Thank a lot!
DW
5.0Reviewed Aug 1, 2021
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!
AA
4.0Reviewed Jul 30, 2019
Overall great, howeve the last assignment needed more help/background from the instructors than provided. I pass 96% of the class but still was not able to get the certificate.
PP
4.0Reviewed Nov 28, 2019
This is a very basic overview to computer vision. It teaches how to use MATLAB very well. Assignments were challenging enough. Course content were not in-depth.
MV
4.0Reviewed May 23, 2020
A great course but the quizzes and the assignments could be greatly improved. There were low voice issues in week 3 videos as well. The quality content of the videos was really good.
PS
4.0Reviewed Oct 12, 2019
Course was great ! And explained well but Matlab was not explained well. It's hard to complete week-4 assignment if you are not good at Matlab. Please provide python language for solving problems.
AO
5.0Reviewed Apr 28, 2020
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.
AP
4.0Reviewed May 8, 2019
I would like it to be more dense on content. It gives overview of many areas without diving into details. The labs feel somewhat disjointed from the rest of the course.
AM
4.0Reviewed Dec 6, 2021
I think content-wise this course is fantastic. It introduces newcomers to computer vision. My only issue with this course is that the assignments left a lot to be desired.
LM
4.0Reviewed Aug 10, 2019
It is a good introduction course but I think some more demo coding for matlab in the first assignments will be a good thing so we don´t have to spend a lot of time on google and on trial and error.
MN
4.0Reviewed Oct 5, 2019
The content of the course helped me get the basics of computer vision. I am looking forward to learning more. the most interesting part were solving the Matlab assignments