I really admire and am thankful to you for making your lectures available to people who are not fortunate enough to sit in your lectures. Your contributions will go a long way.
I used this lecture to help me prep for 3D Graphics concepts. So glad the world of computer vision and photogrammetry intersect with that of video games!
As a math noob all these things working perfectly together to create shortcuts for "normal" vector geometry stuff while also explaining inifitesimal coordinates and their operations feel like a fever dream
Your explanations and motivation behind the math is very easy to understand for me, who finished University some 18 years ago and now needs to study robotics and UAV... because I live in Ukraine. Thanks a lot!
Hey , what are some other sources you are referring for this. Enrolled in any university course or self? I am also a working professional exploring this field of robotics and UAV.
Hi Cyrill, I think it would've been better to explain the shear transformation as it was introduced. It is not clear how the matrix A is parameterized. (i.e. why is it an arbitrary matrix)
Hello, could someone tell me how to interpret the notation he's using for the translation matrix at 23:36? How could i expand it into a different form? Im not that familiar with matrix notation. plz and thanks
Thanks for making me feel stupid for not being able to figure out myself what the relationship between pinhole cameras and homogeneous coordinates are :-).
Pinhole cameras realize the central projection. This projective mapping is the most general mapping that can be expressed by a matrix multiplication in H.C. - thus it is a great framework for these types of problems
