ENB339 lecture 9: Image geometry and planar homography

In this lecture we discuss in more detail the equation of image formation, particularly their expression in matrix form using homogeneous coordinates. We then introduce the planar homography, a mapping from points in a world plane to the image plane, and show some examples of how this can be used for real problems.

Note there is an error at 25:55, I should use the inverse tomography H^-1. A much better discussion of homography can be found at Robot Academy.

[ashishjain]

Amazing lectures. It's awesome that the instructor has shared these very lucid lectures to allow the whole world to learn; gift to the world IMO. Love that the instructor mentions quick points often in the lecture that clarify subtle assumptions or reasons why things are why they are (other instructors often assume that student knows those which make it harder for the student to learn). I could follow the lecture in a single sitting without listening to it more than once. Beautifully done.

[hamidmajidi]

That was the most excellence courses I have experienced till now. Thank You Prof. Peter.

[manxyz]

Congratulations for your amazing teaching skills and for your generosity. I understood everything and it was not even slightly boring, 35 mins felt like 5 mins! Thank you so much.

[cosmiclightning]

Very good lecture. Still struggling to find someone explaining the details of how this was all derived, but practically this is amazing. And moves along nicely.

[yunusaalisaid]

Best lecture on vision ever heard. Thanks for sharing

[icosahedronman]

Nice and dense bit rate without being overwhelming. You, sir, are a GOOD teacher.

[TheSwaroopB]

One of the best lectures about CV I've encountered so far! Or also clarifies a few things which are more often used in computer graphics (the "w" co-ordinate in 3D rendering) which is a bit tricky to understand!

Thanks a lot!!

[thankgoodnessitstheweekend]

Thank you so much for this lecture! You've made this difficult topic understandable.

[grczi]

Great, very helpful lecture with real-life examples. Thank you very much, best greetings from Poland!

[arghadeepmazumder]

This is exactly how someone should teach.. Excellent

[zezecefet]

Thanks for this video! Your lecture is really great and finally I understand some of those concepts!

[FusungWang]

Nice stuff, easy to understand what the image geometry and homography matrix is.

[mrquesito]

Amazingly well taught lesson! Thank you very much for making this somewhat harsh topic so easily understandable.

[MarijanSvalina]

Thank you for sharing this, really helped me to understand homography! Greeting from Croatia!

[TopGunMan]

May all presentations strive to be as good as this one.

[KevinMillerVirtually]

Wonderful lecture - it clarifies a lot. Where is the homography() function (at 24:31) in the MatLab toolbox? Is it a custom function? I cannot find any reference to it. 

[Avitus]

Very clear and easy to follow. Thank you for an excellent lecture!

[hndr]

very clear explanation. Thanks for uploading this lecture material. Love it !

[smartassj]

Thank you for this amazing lecture. Can't explain it better than this.

[dancasas]

Thanks for sharing! Best Image Geometry lecture I have seen!