Відео

thank yoy

The math here are succintly described. If I want to rigorously understand them, what textbooks should I look at? Could you please recommend?

Great work.

👍❤🌹Thank you so much for the extraordinary lectures and valuable knowledge of Prof. Cremers. A Chinese Learner. 2024-06-30.

Thank you, Prof. Cremers! I have finished the whole MVG lecture. It always makes me rethink the critical technique behind the method. And I have some new insight when I re-watch these classes. Thank you so much for the extraordinary lectures and valuable knowledge of Prof. Cremers. A Chinese Learner. 2024-06-30.

Thanks. Learned a lot even in 2024.

Thanks, It's very useful and very clear to revisit the basic algorithm and process of SLAM, and the optimization method behind it. Although it's 2024 now, I also found it a hard-core tutorial. A researcher marked this in 2024/06/21 Friday.

11:42 I wonder I got it right : by "preserving" , it doesn't mean cross product between 2 vectors is same before and after rigid body motion. Instead I think prof. meant applying a rigid body transformation(g) once after cross product of two vectors v and u is same as the cross product of vectors g(v) and g(u), where u and v is applied the same rigid body transformation g.

0:56 But I see a bunch of parallel edges relative to the camera, that were detected?

amrikai

He forgot to say: Please don't forget subscribing to the channel and liking the video 😂

ilk yorum

türkler beğensin sayımızı bilelim

Shoutout an alle Studenten die das gerade auch anschauen müssen

Thank you so much for another wonderful lecture!

1:13:08

Hallo?

Und Live?

Und Live?!

Interesting. Thank you.

flat earth

Wow

This lecture is very clear and important and exhaustive. Danke.

Did it open sourced code?

Do you have slide?????

Great lectures!

Can we do this on a metaquest Pro headset?

I'm kind of confused about the difference between Fourier Features for Position encoding and autoencoders that use convolution + reconstruction loss. Does anyone understand why we prefer Fourier Features to convolutions in the NERF Case? Is it just because its a bag of pixels?

What a lecture! Thank you so much professer, this is so inspiring.

Can someone explain to me how the semi dense depth map is computed from two keyframes of a mono camera? I understand that pixels with image gradients are picked up, but how does one encode relative depth without say KLT tracking?

very nice work, thanks for your contribution to the SLAM society!

Is there a version for ROS2 ?

Thank you for these great lectures. Can the bag files of the exercise be made available ?

What is the significance of having a zero element in subspace ?

Great work! Can it work with equirectangular cameras such as Ricoh Theta V?

Very useful and explicitly, thanks for providing us with another way to understand the Lie algebra and Lie group in the image and camera scene. Thanks a lot. Hope us well in the pandemic.

Very useful and explicitly, thanks for providing us with another way to understand the Lie algebra and Lie group in the image and camera scene.

The transformations (marginalization operation in linear algebra) shown in (34:41) remove the 3D components in the equation and form the epipole constraint in 2D, but also lose some information since the process is not invertible. Thanks a lot for the demonstration!

Id like to try this. Are there any released software that I can try. I been using agismetashape and reality scan but it needs more data from different angles.

For more details on Lie theory I can recommend this video: ua-cam.com/video/nHOcoIyJj2o/v-deo.html

Awesome......

Awesome work! do you think this could work with a GoPro Hero 9 camera? comes with an IMU Bosch BMI260.

Nice, looking forward to trying on my devices

Danke Prof Cremers und Danke Mona. War auf jeden Fall sehr interessant!

Herr Cremers do be dripping tho

Cremers mag ich, Kombinatorik jedoch nicht..

Trotz technischer Probleme ein großes Danke an Prof. Cremers und das team im Hintergrund :)

sicke Vorlesung hat richtig spaß gemacht!! weiter so!

Welche Zentralübung/TÜ gehen zu diesem Vorlesung? ZÜ 8/TÜ9 hatten einige sachen, die in dieser 16ten VL nicht erwähnt wurden