I have three types of images namely, happy, sad and bored which contain a face corresponding to the each emotion. What kind of operation has to be done before the training? Can anyone provide me some reference code about training a svm?
To train svm you need to have Mat with features and Mat with lables ( 0 - happy, 1 - bored, 2 - sad ). But, I think, getting from images features for emotion characterization is too complicated. Read about Cascade Classifier or object detection
Hmm I do not think this is the solution, why not go for solutions that have proved to work?
@StevenPuttemans: I have landmark points on faces detected. How do I use these points to train SVM for emotion detection. Could you provide some reference documents.
The internet if full of resources!
And there are also OpenCV based implementations available
@StevenPuttemans I have trained my SVM classifier, but how can I transfer is to a detector in openCV3.0? As I can not get the alpha, sv_count and rho from the trained SVM.xml defined as below:
Ptr<ml::SVM> svm = ml::SVM::create(params);
One of the things I have not tackled yet is the new ML interface so I have no clue :)
Asked: 2015-04-11 14:19:05 -0600
Seen: 589 times
Last updated: Apr 13 '15
