Attractiveness

When human raters are presented with a collection of shapes and asked to rank them according to their aesthetic appeal, the results
often indicate that there is a statistical consensus among the raters. Yet it might be difficult to define a succinct set of rules that capture the aesthetic preferences of the raters. In this work, we explore a data-driven approach to aesthetic enhancement of such shapes. Specifically, we focus on the challenging problem of enhancing the aesthetic appeal (or the attractiveness) of human faces in frontal photographs (portraits), while maintaining close similarity with the original.

More info here: http://www.cs.tau.ac.il/~tommer/beautification2008/