FaceNet
http://www.dailymail.co.uk/sciencetech/article-3003053/Google-claims-FaceNet-perfected-recognising-human-faces-accurate-99-96-time.html
https://hackernoon.com/building-a-facial-recognition-pipeline-with-deep-learning-in-tensorflow-66e7645015b8
http://aiehive.com/deep-face-recognition-using-deep-convolution-neural-network/
http://cs.wellesley.edu/~vision/slides/Qianli_summary_deep_face_models.pdf
https://people.cs.umass.edu/~elm/papers/LFW_survey.pdf
http://vis-www.cs.umass.edu/lfw/index.html
http://www.kinfacew.com/protocol.html
https://books.google.ro/books?id=oiYmDwAAQBAJ&pg=PA25&lpg=PA25&dq=UB+KinFace&source=bl&ots=9aWvwfh1Na&sig=V01b41MPWnguPv5hvAFSfXcba_c&hl=en&sa=X&ved=0ahUKEwi7lp2LvMrYAhVkDMAKHZyQCfM4ChDoAQgpMAE#v=onepage&q=UB%20KinFace&f=false
http://www1.ece.neu.edu/~yunfu/research/Kinface/Kinface.htm
dATA BASES:
UB KinFace Dataset [19],
Cornell Kinship Dataset [15],
KinFace-I [24], and
KinFace-II [24].
https://web.northeastern.edu/smilelab/RFIW2018/
