Hello i hope the following cnn/dnn questions are not too off topic:
Disclaimer:
- I read about siamese networks, triplet(loss) and understand that facenet is a model architecture.
- I also understand that the model openface.nn4.small2.v1.t7 used by the open cv demo is an implementation of the facnet architecture
I picked as an anchor image(every following pictures will be compared with this) of arnold schwarzenegger, age 40 from the front. During testing i noticed the following:
- Slightly Different angles of the same person leads to a very low similarity score
- Different ages of the same person leads to a very low similarity score
- I picked an image of an old woman, a young woman(famous "lena" picture) and a baby To my suprise these image(which are clearly a different person than arni) are closers to the anchor than the pictures of the same person(different age / angel).
I am afraid i can not ask the net why it thinks lena is more similar to arnold than a picture of himself at a slightly different age. Can anyone with decent knowledge comment on this "phenomenon" ?
On the other hand, as long as the network detects the same person when having a high score (0.8 seems to be good), and i can confirm this, is all fine?
Maybe this all is just "network magic"? Any comments on this is highly welcome, maybe i should also try the tensorflow implementation of the facenet.
Greetings, Holger
