Implement the Jurie-Dhôme optimization problem with homographies

[jmbuena]

This algorithm is an Inverse Compositional one that learns the pseudoinverse of the Jacobian instead of computing it as the pseudo inverse of the analytic Jacobian.

The implementation should:

• Have a new derived class from OptimizationProblem called, for example, JurieInvCompProblem.py
  which takes the training image(s) in the constructor and learn the Jacobian pseudoinverse (and the Jacobian?)
• Make a new test script code/jurie.py (here the training image(s) should be passed to the new optimization problem).

[jmbuena]

Closes by commit 2b91638