suggestion: using facenet/openface

[Tobias Hermann]

Hi,

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 techniques.

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?

Regards,

Tobias

[Gilles Caulier-4]

Hi,

A student work on Deep learning feature for face recognition based on
c++ algorithm from DLib.

As i can see openface is python code. I cannot used with digiKam,
written in C++.

Gilles Caulier

2017-08-10 16:44 GMT+02:00 Tobias Hermann <[hidden email]>:

> Hi,
>
> 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
> techniques.
>
> 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?
>
> Regards,
> Tobias