title: What to do with face descriptors of the same person from multiple photos?
body: <p>Using neural networks for face recognition, the network will generate a "face descriptor" that is, depending on the network of course, often a 128D vector that describes a face ("In general, if two face descriptor vectors have a Euclidean between them less than 0.6 then they are from the same person, otherwise they are from different people." <sup><a href="https://github.com/davisking/dlib/blob/master/python_examples/face_recognition.py#L102" rel="nofollow noreferrer">1</a></sup>).</p>
  
  <p>I am trying to develop a photographs application that features face recognition, although I do not know how to store the face descriptor of a person. The question is <strong>NOT</strong> how to serialize them, but when there are hundreds of different photos of the same person, yet each yielding a different face descriptor (because the angle, lighting and etc. are different), how to choose which one to store? Presumably, there should be a way to "improve" the descriptors as more and more photos are processed, <strong>without</strong> training the neural network.</p>
  
  <p>Thanks!</p>