The Good, the Bad and the Ugly: Attractive Portraits from Video Sequences
Taking a portrait picture is frequently an uncomfortable task for the photographed person, and the resulting shots are in many cases unnatural and unsatisfactory. A common solution is to take a large number of pictures and then select the favorite ones. Instead of a manual selection, an automatic selection of good portraits from a captured video sequence can increase the chances to obtain a pleasing portrait picture without much effort. In this paper, we present an automatic solution for classification of face images from video sequences. This, in turn, can not only ease the task of taking good portrait pictures, but it can also make the acquisition of portraits more comfortable. (4 pages)