In optical imaging through atmospheric turbulence, it is common to expand the random wavefront as a superposition of modes which are matched to the underlying statistical process.

In this talk, we will show how the identical treatment of a human face as a random process enables us to effectively model facial appearance by a highly compact parametric model requiring typically less than 100 bytes of storage. We discuss and demonstrate some of the interesting effects and applications which this model can achieve.