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The obvious (yet politically controversial) solution is to just use one of the many Open face recognition embedding CNNs and then combine with low level appeara
by olympusmountain 9y ago
The obvious (yet politically controversial) solution is to just use one of the many Open face recognition embedding CNNs and then combine with low level appearance descriptor.
- lobster_johnson 9y agoThe author pointed out on Reddit that a large proportion of the photos don't have faces in them.
- aisofteng 9y agoIt is obvious that a large percentage of photos are not of people. It is obvious that most photos uploaded to a dating website will have faces in them.
- lobster_johnson 9y agoDid you even read the Reddit comment? [1] Largely the issue with this is that a lot of spammers don't have photos with faces [...] [1] https://www.reddit.com/r/programming/comments/6efoqw/evaluating_perceptual_image_hashes_at_okcupid/diainlz/ https://www.reddit.com/r/programming/comments/6efoqw/evaluat...
- jbg_ 9y agoWouldn't you then just flag as spam any profiles with a high proportion of photos with no faces in them?
- Tiki 9y agoThe solution to your solution could then be to generate new faces programmatically in an automated fashion. One tactic could simply be combining faces(in some offline version of something like: http://www.morphthing.com/ http://www.morphthing.com/, no affiliation). Another method could be targeted and non-detrimental manipulation of facial constructs. I could imagine using liquefaction filters designed to operate within a perceptually acceptable range for a human while working towards the the goal of gaining enough change to be new in the eye of the facial recognition algorithms. Still a worthy effort by OkCupid, they'll scrape off the bottom this way.