Mapping the 3D World to an Image - 5 Minutes with Cyrill 

Remarkable how a complicated process can be covered so clearly and concisely in just 5 minutes!!

Excellent. I feel much more comfortable with the concept, and have the correct terminology for further study.

Your videos have been the best tool to clear my computer vision concepts. Thank you so much :) !!

0:51 1:16 4 coordinate systems 1:56 camera location 3:48 formula interpretation 4:06 not invertible b/c info loss from 3D to 2D (given a 3D point, we can use the calculated P to get the corresponding 2D point, but given a 2D point, we cannot use P to get the corresponding 3D point b/c loss of info) 4:44 can partially invert with a 1D solution space 4:51 5:07 5:13

Thanks! I really appreciate your lectures.

Very nice. 🙏

thanks for the clear explanation !

Fast and informative. Thank you so much

Спасибо❤

Thank you. it was indeed useful. 🙇‍♂️

Thank you !!

Thank you so much for this amazing content.Would you like to make a video about visual odometry using single camera?

Thank you very much, I loved it!

decent explain, thx

Very Useful! thank you

I have a question, maybe you can give me a hint how I have to continue. I use a camera and can detect my aruco marker. The camera is calibrated and I have the camera matrix (intrinsics), distortion coefficients and the rotation & translation vector (extrinsic). And by the aruco functions I can detect the center of my aruco marker in the given image. But HOW can I caluclate the x,y coordinates of the marker in real world coordinates by the given parameters??? I dont get it :D I want to now when I make pic1, than move the marker, do pic2, I want to know how many mm in the real world the aruco marker moved in the x-y layer. And the distance to the object is not constant. But I do not want to know the distance. I just want to get accurate x,y coordinates. Thanks for your great video collection by the way!

Thank you. Could you talk about what are the common feature extractors and descriptors for 3D point cloud (with and without RGB)?

Tanks sir from an architect.

We have our “senzor” 😁 Cute 🙂

Please make a video on Feedback Particle filter