  While facial biometrics has been widely used for identification purpose, it
has recently been researched as medical biometrics for a range of diseases. In
this chapter, we investigate the facial landmark detection for atypical 3D
facial modelling in facial palsy cases, while potentially such modelling can
assist the medical diagnosis using atypical facial features. In our work, a
study of landmarks localisation methods such as stacked hourglass networks is
conducted and evaluated to ascertain their accuracy when presented with unseen
atypical faces. The evaluation highlights that the state-of-the-art stacked
hourglass architecture outperforms other traditional methods.
