Robotics

This course is definitely worth learning if you are interested in computer vision or robotics perceptions!

I would recommend this course to people who have some basic knowledge about computer vision (e.g.

Really good course for getting a sound foundation on geometry of computer vision.

The four week was hard ;) Good intro course for someone has no prior knowledge in Computer Vision.

All in All, a very well structured course to jump start one's career into computer vision.

Lots of cutting edge mathematical and computer vision concepts, but a serious lack of support.

It is certainly the most comprehensive course in computer vision that can be provided in a span of four weeks.

I really loved the dense collection of relevant information, this course is a great introduction to computer vision-related algorithms.Unfortunately the lecture videos are poorly edited and subtitles are inaccurate, however the slides are quite good and verbose enough to understand every topic.Assignments are quite good, however formula derivation explanations could be better.

Solid Material as an introductory course and gives glimpse on the new horizons on computer vision.

It needs very good prerequisite about computer vision.

For Computer Vision enthusiast who wants to learn about Multiple View Geometry, this is the best beginner course

The entire course is about linear algebra practices.

Also, computer vision, especially geometric vision is difficult to understand without a proper background in linear algebra, but the teachers' explanation was enough to fill the gaps so that even someone with only a minimalistic knowledge of linear algebra was able to consume the content.

You will be very well able to appreciate the current code base on ORB-SLAM as code does not involves derivation and this course covers all the linear algebra behind it.

It required me to go to Khan Academy and revise all about Linear Algebra + Derivatives...