How would be the calculation of porcetangem of a face in an image? Suppose I had a 3x4 photo of a user, but he had a lot of hair covering his face. Is there any way to detect that the image does not have a minimal percentage of the user's face?
How would be the calculation of porcetangem of a face in an image? Suppose I had a 3x4 photo of a user, but he had a lot of hair covering his face. Is there any way to detect that the image does not have a minimal percentage of the user's face?
Facial detection algorithms work from facial features. Thus certain features must be present in the photo so that the algorithm can extract the necessary data and determine whether the object being evaluated is a face or not.
It is quite possible to have a high percentage of one-sided exposure in the photo, and yet the detection fails if the right features are hidden / manipulated, such as pose, facial expression, lighting , etc.
So thinking about the success of facial detection as if it depended on a minimal percentage of face exposure in the photo is not a realistic approach.
I recommend the Eigenfaces vs Fishfaces from Columbia University (1997) , which discusses a more robust technique for solving these problems and makes an interesting comparison with the 2 most popular facial recognition / detection algorithms.