deem
deem

Reputation: 1252

Different ways of detecting smile

I would like to know more about different ways of detecting smile on image. As far as I know, there are many libraries that are allowing to detect face and smile. The ones that I've tried are:

Instead of just using them, I'm curious about how they are working. I know that OpenCV and OpenIMAJ are working based on Haar classifiers. I don't really follow, how FaceSDK is doing face and smile detection though.

I can imagine, that you can get two different ways of smile detection:

  1. Perform fully emotional detection. You can find eyes, nose, mouth and other features on face and then compute emotion based on those informations. If you get "happy" emotion, you can assume, that there is smile (or something like that, just finding mouth and checking curve on lower lip?).

  2. Similiar to Haar cascades, search image and try to find object that is similiar to the one that you are searching (having many negative and positive samples). This one seems to be faster, but less trustworthy if not used with some "helpers".

Is there any other way? Do you guys have some articles on one of those ways?

Upvotes: 0

Views: 696

Answers (0)

Related Questions