nThe Fitting Algorithm is a stochastic version of Newton’s
Algorithm.
nThe face is divided into small triangles. The gradient calculation is done at the centers of these triangles.
nAt each iteration, 40 triangles are chosen randomly for the error function and gradient calculation.
nThis not only speeds up the optimization process but also avoids local minima.