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AyushTejwani avatar AyushTejwani commented on July 17, 2024

The eigenfaces lbph and fisherfaces work on PCA method which is based on machine learning. What it does is it takes the average of the all the pics you add to database of a person and brings out an mean image(stored in face in the program) now it calculates the difference between the input new image and mean(stored in confidence in the program) so if the difference is below 200 it recognizes the person.

from opencv-face-recognition-python.

yekosebayang avatar yekosebayang commented on July 17, 2024

now im confused, at this link he says that it use KNN with euclidian distance... are those the same?
https://towardsdatascience.com/face-recognition-how-lbph-works-90ec258c3d6b

from opencv-face-recognition-python.

AyushTejwani avatar AyushTejwani commented on July 17, 2024

I am not sure if they are completely same but they are similar though.. Here is ths link for PCA https://googleweblight.com/i?u=https://en.m.wikipedia.org/wiki/Principal_component_analysis&hl=en-IN

from opencv-face-recognition-python.

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