emotion classification with SVM
Hi, i'm working on a project where i have to extract the facial expression from a video, after i extracted the facial landmarks position i want to train SVM for emotion classification(happiness, anger, fear, surprise ...). Befor the training should i normalize the points (to get them into [0..1] range ) ?? and how can i do that?
One of the co-authors of OpenCV 3 Blueprints wrote a complete guide on emotion classification inside the book. I suggest to get it and start reading.