Normalization of training data complete. Ready to move onto control point extraction. Using homogeneous coordinates and rotation matrices to manipulate our data.
Some difficulties included finding the nose tip. This was not as easy as our paper suggested it would be. Solved this problem by rotating by a hard-coded amount right now in order to avoid locating the nose tip. Scaling doesn't seem to be an issue at the moment.
Looking forward, we will need to implement orthogonal distance fitting (plane fitting) and min max filtering for region selection. We will need to divide the face into rectangular grids in order to perform plane fitting. Some methods we are looking at include Gauss-Newton algorithm, Steepest Gradient Descent, Levenberg-Marquardt procedure, and simplex method.
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