OpenCV Python Tutorial For Beginners 37 - Detect Corners with Harris Corner Detector in OpenCV

[@tristanle6687]

Appreciate your effort making this video, but you're just basically reading off of the tutorial on opencv.readthedocs. It'd be nice if you explain more, like the what does each expression represent and why

[@HM-cw8im]

Thar's true. He would explain each and every point in detail in the first 20-25 videos, but after that he is just reading off the code.

[@fernandosaraiva672]

Can anyone explain me the part "img[dst >0.01*dst.max()] please ?

[@manhnguyenminh9730]

it's the threshold part of Harris Corner Detection Algorithm. If the pixel value in our result from the method cornerHarris() is greater than 0.01 * max pixel value in result matrix, this is the interested point of the corner

[@jyetremlett3071]

what a great video thanks so much

[@ayandamaquthu7914]

man you always come through for us students. thank you for the simplest and clearest explanation

[@harsh_dn]

Only few blocks out of 64 is being shown in enlarged way.
Any help?

[@ErdosainNueve]

Hi. Can I use this for trying to get a chessboard? Or there is something better? Thanks

[@mohammedinam4324]

Please clarify
consider the same checkerboard image...................I have grey image size = (630,630).
I want to draw a circle on each black boxes.
if I resize the image further to size 200X200. that predefined circle becomes big.
how should I fit the circle even after the image is resized?
please help me???

[@amitupadhyay6511]

k, how to get the co ordinates of these detected corners?

[@erikazurita7152]

Thank you, but there is something that I don't understand very well, in one exercise I am asked to estimate the covariance matrix using block sizes between 2 and 5, what parameters should I change?

[@louiscasen9676]

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[@lachlanroberto5160]

@Louis Casen yea, I've been using Flixzone for since november myself :)

[@JavaAidTutorials]

Good one...

[@mohammedzeeshan7277]

Thank you : )

[@shashanksharmadon4295]

thanks bro.......

[@AniketKumar-bm8gi]

Nice

[@it4genius171]

Me 1st viewer