> having a look at the digiKam source code on github, I see that eigen/fisher
> faces and the lbph model from OpenCV are used as face recognition
> However the deep convolutional neural network architecture "facenet"
> (arxiv.org/abs/1503.03832) seems to be the state of the art. With "openface"
> (github.com/cmusatyalab/openface) there is a good implementation available.
> Have you thought about trying to use it to improve the face recognition
> capabilities of digiKam?