2016-07-27 07:56:24 -0600 | commented question | What is the best method to match face features against a database? Oh, that would be great because I then I could transform the image. I just made a Google search about "face landmark detection", looks like it will be very useful. Thanks again, this is a good tip. |
2016-07-27 07:05:06 -0600 | commented question | What is the best method to match face features against a database? I got the images doing a search for "face man front" so most of the database are frontal and horizontal. After a couple hours curating the database, results are starting to get better. I will try other algorithms a see if I can make it fast enough. Thanks! |
2016-07-26 16:40:22 -0600 | asked a question | What is the best method to match face features against a database? The challengeI'm trying to replicate the experience from this campaign, but in realtime: What I have now
The current problemThe matching is not very good. Sometimes, the best match for a face slice is a false positive from the face recognition algorithm (I got a low percentage of false positives and I'm curating the database by hand). I've tried the following algorithms in order to find the best match for each face feature from
Best results are from Structural Similarity, but still far from ideal. Bellow are an example of the app returning a false positive as the best match for my mouth:
As you may have guessed I don't have a clue about what I'm doing - unable to figure out why it is not picking from hundred of mouths in the database. |
2016-07-26 16:14:50 -0600 | received badge | ● Supporter (source) |