First of all, it is a great software you have programmed. Thank you! I have a lot of Photos in my database spanning a large period of time. And as we are all no Hollywood stars, our look changes with time. Would it be possible to cluster the Face-Recognition Data with time ? e.g. If a large time period is specified, take 10y for a face. If it's not the first years of life, this should improve Recognition a lot. Otherwise I would have to use different "Persons" in the database e.g. Gandalf 1..2y, Gandalf 3..5y Gandalf 6..12, and so on. Also I would really like to see "second best match". When I do not confirm a face from a suggestion, I would like that to be calculated to match another face WITHOUT the one I disconfirmed. Would that be possible ? Thank you.
Hi Martin, (In reply to Martin from comment #0) > First of all, it is a great software you have programmed. Thank you! > > I have a lot of Photos in my database spanning a large period of time. And > as we are all no Hollywood stars, our look changes with time. > Would it be possible to cluster the Face-Recognition Data with time ? > > e.g. If a large time period is specified, take 10y for a face. If it's not > the first years of life, this should improve Recognition a lot. Otherwise I > would have to use different "Persons" in the database e.g. Gandalf 1..2y, > Gandalf 3..5y Gandalf 6..12, and so on. > > Also I would really like to see "second best match". When I do not confirm a > face from a suggestion, I would like that to be calculated to match another > face WITHOUT the one I disconfirmed. Would that be possible ? > > Thank you. Hi Martin! I also thought of this problem of growing children, there is some research on this (A Review of Face Recognition against Longitudinal Child Faces; Sodomsky) and I like your proposition. Since most parents really take a lot of pictures, data should be sufficient to train "yearly" models of childrens persons. I do not know, if digikam is able to internally maintain a 1:n relationship between person labels and face recognition models, but I think this would be a senseful improvement. An alternative would be to have a hiearchy where you have a personlabel and "under" it some person-age labels. there is a recognition model for person-age which is individually trained and when it is recognized the face is automatically labeled person and person-age. However, the recognition experts here can maybe raise their opinion if change like the proposed would improve the recognition performance for children
*** Bug 449310 has been marked as a duplicate of this bug. ***
Hi Michael, A possible Recognition settings to considerate for the future, with the new SFace DNN model. Best Gilles
The new SFace model handles this use case much better than OpenFace. The matching algorithm is 1-to-1. In other words, each unknow face evaluated against known faces. There isn't a "blended" score for each person based on all the faces. Each face has its own unique score. Assuming you have images from different points in time, the algorithm will work like this: Tag an image of newborn child. The system will match other pictures of the same newborn child. In 6 months, you add new pictures. Because the pictures at 6 months aren't significantly different than newborn, the face engine will probably match the images with the newborn. Assuming you have images from when the child at 1 years old, this will match more closely with the 6 months pictures, but less with the newborn pictures. This is ok because the newborn and 6 month pictures are grouped together in the database (this is called clustering). Imagine the process repeating as the child ages. Year 2 pictures will match with year 1. Year 3 will match with year 2. Year 4 will match with year 3. The process also works exactly the same in reverse. If you have a current picture, it will find slightly older pictures. The slightly older pictures will in turn match with even older pictures. This is how it works now, and it works well. I did this 2 days ago as I'm developing the new SFace model recognition engine. It did take several scans to find almost all the pictures of 13 year-old son, but it did find them. I only had to tag 8 or 9 images by hand and digiKam found over 1,700 other matches. I did have to run "recognize faces" several times and accept the suggestions, but it was much easier than looking for the faces manually. Please try this approach when 8.5.0 is released. I will keep this ticket open for a while after 8.5.0 is released and wait for your feedback. Cheers, Mike
My testing shows this can probably be closed. Cheers, Mike
ok i close this one and the duplicate 449310
Michael, I reopen 449310, as the topic sounds like different. Gilles
(In reply to caulier.gilles from comment #7) > Michael, > > I reopen 449310, as the topic sounds like different. > > Gilles Yes, I agree. They are different suggestions. Cheers, Mike