Computer Vision - Integral Images (Artificial Intelligence Bootcamp in Python)

In this lecture we are going to discuss computer vision related approaches such as Haar-features and integral images. The first step in computer vision is to construct relevant features out of the image. Haar-kernels can detect the most relevant set of bits on a given image.

These features can be the input for machine learning approaches such as SVM or deep neural networks.

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[kartikmadhira]

Your tutorial is 'lotsoflotsof' fun! cheers!

[RYoung]

For those wondering why he added 0.2 at 4m18s: If he didn't add 0.2, then he would have subtracted it twice. You only want to subtract it once. I don't think the explanation makes this very clear.

Otherwise superb! Thank you!

[syedisha]

Simple and super explanation.. Thank you

[were]

great video, cant wait for the adaboost lecture

[annepuvijay]

Finally I found the good explanation for the integral image..Tanx alot...

[metalalive]

great work! your video helps a CV dummy like me quickly understand the basic concept

[chchand]

I'm Beginner in Computer Vision but the way u explained I don't think so that anyone else can do

[chinhphamhoang]

Great video. It's so interesting. I have clearly understood the algorithm. Many thank.

[allaazaki]

very very good tutorial >>> but i can not find the next lecture( about the adaboost )... help me please

[shihabuddintareq]

Plz make more tutorial on computer vision

[avijitdey]

Thanks for this video.It is very much understandable.

[MuhannadGhazal]

thanks.... i cant find the next video...

[sridiahhardianti]

It's such an amazing explanation! thankyou for making me understand about it. But could you please notice me where's the next episode for adaboost part ? thanks!

[saranzeb]

i didnot understand why we added and subtracted other pixels values with the total sum ?

[anongeorge]

Great tutorial. Simple to understand. Clear voice and well-prepared slides. Please give the link to next video continuation about adaboost. Thank You Very Much.

[kevdaag]

Mistake? At 2:23 you highlight square in row 4 col 5 with value 5.3. Shouldn't it be 5.6 ?

[mahendraalamsyah]

How to find the number in the original image?

[elias-ianjost]

Can you help my whit paymill test- mod remov for dropshiping?

[rohitkhandke]

why we want to conside 0.2 pixel why can't we just subtract 1.7

[adamvalentovic]

You have made lot of mistakes in your Integral Image, for exemple in 4th row, 5th column should be 5.6 instead of 5.3