People recognition in ambiguously labeled Photo Collections

We show how to recognize people based on their faces in Consumer Photo Collections while also incorporating context in the form of ambiguous labels. Such labels can be assigned to single photos (depicting multiple people) as well as to entire sets of photos (e.g. relating to events). To achieve this, we devise a unified framework that has a graphical model along a distance-based face description method at its core. We evaluate our probabilistic approach by performing experiments on two datasets, one of which includes around 5000 face appearances spanning nearly ten years.