https://bugs.kde.org/show_bug.cgi?id=372340

--- Comment #16 from Chandra Kant <chandra.kant.ee...@itbhu.ac.in> ---
I think for this issue -the more aligned faces are the better face recognition
results are.So we need to convert the image to greyscale.Then we can rotate
face to vertical position so it is aligned perfectly. we can do this by
computing height difference between the eyes and when eyes are shut we can use
histogram of oriented gradients for nose to get its orientation. First thing
first we need to find eyes on picture. we can crop the image to just the face
part so the classifier has easier job finding eyes and doesn’t throw false
positives.

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