Given a dataset with 68 predefined land marks for each image I want to train an SVM classifier to predict these 68 landmarks in test images. What features do you suggest I should train the classifier with? I used HOG (Histogram of Oriented Gradients) but it didn't work.
The output should look like this:
The output should look like this: