This is the best and most balanced way of explanation, we don't miss the theory, as well as it did not go to extreme mathematical details to make it even horrible. Thanks a ton!
Hi, The equation you wrote at 3:26 doesn't seem correct. you expended (a+b)2 while correct one is (a-b)2 and second one is the final equation E(u,v) = [u v] M [u] and you mentioned M as whole which is incorrect.. v
There is a mistake. The M you cliam to be a matrix is not a matrix. It is a scalar and it is still E(u,v). M supposed to be only the sum of 2x2 matrices between (u,v) vectors.
Your Insta page brought me here, OMG girl! how is that possible! you are really beautiful and really really intelligent and besides all those things you explain how the algorithm works 😍😍😍
This is the best and most balanced way of explanation, we don't miss the theory, as well as it did not go to extreme mathematical details to make it even horrible. Thanks a ton!
Yay! Super happy that you like it, thank you for your kind words!
thanks a lot! Kixcodes. Really easy to understand and straightforward
Great! Happy you got it
You're so beatiful, and the way you explained to the audient is easy to comprehend. Kudo for that.
Wish she was a lecturer at my uni.
Haha thank you so much, 😊 that's so kind of you!
I've got an exam in 20 minutes and you just helped me tremendously! Thank you :D!
Me right now but i have about an hour left.
I'm super happy that it helped you! Hope your exam went well
Thanks for the video. Best explanation that I found on Harris Detector. Congratulations !!!!
Wow, thanks! Super happy that you liked it
It's so interesting, and you explain so well, that I understood everything without any problem. I would love to see more videos in your channel
I'll try to implement this in my code tho, to see if I really understood. I just star your repo in github, thx for the videos
Thank you so much for leaving a comment :D Makes my day to read it and see that it helps!
I have a Computer Vision and Image Processing exam in 2 weeks. This helps a lot! Thanks for the video! 😁
I'm super happy you liked it
@@Kixcodes you're welcome!
Nice explanation! Got a much better understanding after listening to this
Thank you William, makes my day that you also left a comment. It makes me happy to read!
You are amazing teacher....👏👏
Thank you! 😃
@@Kixcodes I want to contact with you .I have research papers on corner detection.
Thank you very much. Perfect explanation
I always wanted to know why we used the taylor series and the eigen values, thank you!
Great!! I'm happy you found it rewarding :D
You’re a life saver
Happy to help 😄👍🏻
That was really useful! Thanks
Glad it was helpful!
Very helpful. Thanks
Of course! Happy you like it!
Thank you for this video
Hello
awesome explanation: thank you!
Thank you!! That makes me very happy to read!
Suddenly the "window" thing makes a lot more sense
Yaay! Happy you got it!
You should be thanked more often 👏
Haha you're too kind, thank you!
Thanks for the video 😊
My pleasure 😊
Great Explanation :))
Glad you liked it! :D
Great job
Noted haha!
thank you so much
You're welcome!
Hello, I've question,
If we can use eigen values to determine flat, edge, or corner. Why do we care about getting R to do that?
Sweet explanation, thanks 🙏
Glad it was helpful!
thanks a lot.. this was really helpful
I'm really happy it was
It is difficult concept.You explained well.
I'm happy you liked it :D
Hi, The equation you wrote at 3:26 doesn't seem correct. you expended (a+b)2 while correct one is (a-b)2
and second one is the final equation E(u,v) = [u v] M [u] and you mentioned M as whole which is incorrect..
v
Ah, I'l have a look!
great video! thank you so much
Of course! Happy you like it!
Nice video
Thanks a lot!
this lady awesome
Haha thanks!!
Wish I could have tutor like you, you are pretty
Really interesting, thanks for sharing 🤓
No problems Eddie! :D It's a lot of fun to make them :)
keep uploading more videos Ma'am
Yes :D Of course I will
@@Kixcodes me waiting ❤
There is a mistake. The M you cliam to be a matrix is not a matrix. It is a scalar and it is still E(u,v). M supposed to be only the sum of 2x2 matrices between (u,v) vectors.
Yes I figured that after I already posted the video, can't change that now unfortunately. :(
Define the Moment matrix M.
Your Insta page brought me here, OMG girl! how is that possible! you are really beautiful and really really intelligent and besides all those things you explain how the algorithm works 😍😍😍
Hey Mohamad, thank you so much for your comment :D makes me happy that you liked the video!
Can you please provide the proof for Taylor series expansion that you did for Harris algorithm?
Can you get the source of this information (interest point Detection) . Please Help😭😭😭
😍😍😍😍😍😍
It would be help full if you show the implementation of this in python from scratch. by the by nice video. Thanks
Great suggestion!
Hey! Are you from germany? :D
Hello! I live in Germany but I am from Sweden.
haha I was just guessing from the accent. Where in Germany do you live?
it was not good but excellent.
God, you are adorable!
Thank you haha!
All u explain in this video have explained in opencv documentation, nothing special..