Lecture 12: Camera Model

UCF CRCV

UCF CRCV

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Published 2012-10-29

UCF Computer Vision Video Lectures 2012
Instructor: Dr. Mubarak Shah (vision.eecs.ucf.edu/faculty/shah.html)
Presentation: crcv.ucf.edu/courses/CAP5415/Fall2012/Lecture-12-C…

All Comments (15)

@cyrftube 10 years ago

Sleepless in Seattle was the right movie.
@sunshijie1558 7 years ago

Thank you very much for the detailed explanation.
@troubleseeker5823 6 years ago

I am here from Biplab's class! Anyone else?
@bijoymohanta2857 7 years ago

Thanks a lot sir. Really its very helpful.
@drbobusa 11 years ago

It would be great, if we could also have the link to the presentation slides, in the video description! =)
@praffulkumar1996 4 years ago

At 41:00 . matrix is wrong. 2nd row , last three columns are wrong. Similarly for other row as well.
@PankajSingh-dc2qp 8 years ago

Linear algebra forms the foundation block of Computer Vision
@preethychowdary 7 years ago

How to find the orientation(angle) of the camera from 3x3 camera matrix which i got after camera calibration?
@cyrftube 10 years ago

This was a clumsy presentation. The rotation about Y was omitted because the professor said the equation was just an example. In a better example, the complete extrinsic equation would include all 3 Euler rotations. The video was edited to include a better explanation.
@user-fz4xp9bi1v 1 year ago

Thanks, can you explain the calibration omnidirectional camera.?
@cooldood83 10 years ago

in the camera model, why there is no rotation matrix for rotation around the Y-axis?
@deduu10 10 years ago

what I did not understand is when the element of camera matrix m34 is set as 1, then the value of Tz will always be 1 also. can anyone explain this? :D
@shivaramsrikanth 4 years ago

He says cocaine for coke can! lol
@stereohomology 9 years ago

The camera model used here seems very poor