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Computer Vision Basics に戻る

バッファロー大学(University at Buffalo) による Computer Vision Basics の受講者のレビューおよびフィードバック



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: 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....



May 06, 2019

The course content is good.There are too many examples and applications.I use python but using MATLAB for the computer vision is new experience for me.


Jul 21, 2019

Course was very well designed, it is the best course for beginners.


Computer Vision Basics: 51 - 67 / 67 レビュー

by Jürgen R

Aug 18, 2019

Nice course. Some parts are choppy and explanations are not always very in detail. Exercises need improvements!

by David

Aug 13, 2019

Very basic concepts and weak introdution into the field of CV

by Stefano F

Dec 27, 2019

Excercises seems to be a Matlab course, not computer vision

by Shrijeet J

Dec 16, 2019

More descriptive course can be preferred

by Alan T

Oct 29, 2019

Good information but a bit elementary.

by thomas p

Oct 28, 2019

This course is of a very basic level.

by Satyanarayan P

May 19, 2019

Very simple and basic

by hariprasath

Nov 21, 2019

A very basic course.

by Muhammad S

Sep 12, 2019

Very Basics

by rishab k

Dec 22, 2019

The course definitely doesn't carry significant content and what after it.

after basics there should be some more courses for advance training.

The programming assignment were more than irrelevant.

sorry for the bad feedback.

but teaching was good

by Indrajit S G

Dec 15, 2019

Very poor quality course.

by Juan l

Sep 24, 2019

Incomplete content

by Boris G

Oct 31, 2019

This course is so basic, it should be rather called "Basic Image Processing in Matlab for dummies". The lecturer gives whole bunch of names of complex algorithms without giving even tiny details. The entire course can be finished in one day. The matlab assignments are of poor quality and without any indications or advices on how to proceed them better.

by Praveen k G

Dec 14, 2019

Kindly do justice for the amount paid in enrolling for the course. Subjects are taught in fast-track without proper illustrations. Students had to rely on external sources to complete the assignments. I don't know for what purpose quizzes have been set.

by Krithick N S

Oct 05, 2019

Found the level of the course to be very low and the quality too is insanely not worth it. I would have given a zero if possible.

by Alaa M H

Nov 03, 2019

The content is not sufficient to understand and the explanation is very bad.

by Rahul K

Sep 24, 2019

Additional resources and guidance required for Matlab assignments.