PT Unknown
AU Mario Rojas
   David Masip
   A. Todorov
   Jordi Vitria
TI Automatic Point-based Facial Trait Judgments Evaluation
BT 23rd IEEE Conference on Computer Vision and Pattern Recognition
PY 2010
BP 2715–2720
DI 10.1109/CVPR.2010.5539993
AB Humans constantly evaluate the personalities of other people using their faces. Facial trait judgments have been studied in the psychological field, and have been determined to influence important social outcomes of our lives, such as elections outcomes and social relationships. Recent work on textual descriptions of faces has shown that trait judgments are highly correlated. Further, behavioral studies suggest that two orthogonal dimensions, valence and dominance, can describe the basis of the human judgments from faces. In this paper, we used a corpus of behavioral data of judgments on different trait dimensions to automatically learn a trait predictor from facial pixel images. We study whether trait evaluations performed by humans can be learned using machine learning classifiers, and used later in automatic evaluations of new facial images. The experiments performed using local point-based descriptors show promising results in the evaluation of the main traits.
ER