A saviour video for my PhD study, cannot imagine there can be such a nice professor who is willing to devote so much effort and time to make everything so clear for free!

@CyrillStachniss

Жыл бұрын

Thanks, I am happy to hear that my material is useful!

@avnishpanwar9502

8 ай бұрын

What phd are you pursuing? Myself doing a phd on 3d computer vision Slam

@vr4782

4 ай бұрын

Totally agree

Too good - I wish I had studied your videos 10 years ago when I was starting out. Somehow, the books don't give an intuitive picture making this a much more difficult area to approach than it should be. Prof. Stachniss, you should write a book with some good pen and paper and programming exercises. Forstner is probably the best right now. (I work in self driving cars, on BEV modelling, and LOVE this subject).

Thank you so much for your content! My whole postgraduate research lab are huge fans of yours. You're getting us all through our dissertation-only Masters. Thank you Prof. Stachniss

@CyrillStachniss

2 жыл бұрын

Thanks 😁

thank you so much Cyrill for this course, If and only I will pass my computer vision exams will be just because of you.

@CyrillStachniss

2 ай бұрын

Thanks!

The best video I have ever seen in this topic, Epic. Thanks for sharing.

Thanks for the great lectures Cyrill!

Great Stuff! these videos are golden!

Thank you for the lecture Cyrill!

Great lecture. Really helped me understand bundle adjustment.

Thank you so much for your generosity. God bless you. All your videos are Really gold. Wow wow wow

@CyrillStachniss

2 ай бұрын

Glad you like them!

Thank you! So great courses!

Thanks for this very clear and careful video. Super helpful!!

Thank you for the great content Mr Stachniss. It really helps to clarify and make this knowledge more accessible. You deserve a million subscribers at least.

@CyrillStachniss

2 жыл бұрын

Thanks!

@antun008

2 жыл бұрын

... at least squaresxD

Best videos on topic. Thank you.

@CyrillStachniss

2 жыл бұрын

Thanks a lot

thx a lot for your work !!!

thaks very much Prof.

Thanks for the great video

Thanks for your great leacture! I have some question. In 1:02:15, What kind of variables when you mentioned variance factor? Does it include all kinds of unknown parameters? Thanks,

28:10 how did you set up that system? Seems like a huge leap from the previous slide to this one

how do you find the control points when you are doing visual inertial SLAM?

How can we do autonomous navigation in orb slam

Hi, thanks for the video! It is a very well explained lecture. Would it be possible for you to share the slides?

@CyrillStachniss

2 жыл бұрын

Sure, see the teaching website of my lab www.ipb.uni-bonn.de

Can someone explain how we get 10M scale parameters, I thought scale factor would be defined for a camera pair and not be different for every point in the pair of images..

@mateuszwyszynski4331

Жыл бұрын

I think it is because we are using homogeneous coordinates. For each 3D point you get only a homogeneous representation after applying projection. The scale in this homogeneous representation (the z coordinate) can be (and I guess usually will be) different for each point. Hence the scale parameter lambda varies across points

Hi, I wanted to ask you something about the scale factor. You avoid using this factor when you move from homogeneous world to euclidean world. Afterwards, you say the result of bundle adjustment does not contain any information about absolute scale. I wonder if this happens because of the change from homogeneous to euclidean world. Thank very much in advance for this amazing work!

@mav45678

3 жыл бұрын

The answer is no - these are two different (unrelated) scales. Even if you do BA in homogenous coords (i.e. do not get rid of lambdas), you will not be able to recover the absolute scale of the object in the world.

@juliocastanoamoros6497

3 жыл бұрын

@@mav45678 Ok, thank u so much!

It's a crime that you are watched by thousands and not by hunred of thousands.

@CyrillStachniss

3 жыл бұрын

Thanks

@aadi7448

3 жыл бұрын

Seriously. This is gold. Helps me revisit and consolidate things I learned in grad school.