TY  - JOUR
AU  - David Masip
AU  - Michael S. North
AU  - Alexander Todorov
AU  - Daniel N. Osherson
PY  - 2014//
TI  - Automated Prediction of Preferences Using Facial Expressions
T2  - Plos
JO  - PloS one
SP  - e87434
VL  - 9
IS  - 2
N2  - We introduce a computer vision problem from social cognition, namely, the automated detection of attitudes from a person's spontaneous facial expressions. To illustrate the challenges, we introduce two simple algorithms designed to predict observers’ preferences between images (e.g., of celebrities) based on covert videos of the observers’ faces. The two algorithms are almost as accurate as human judges performing the same task but nonetheless far from perfect. Our approach is to locate facial landmarks, then predict preference on the basis of their temporal dynamics. The database contains 768 videos involving four different kinds of preferences. We make it publically available.
L1  - http://refbase.cvc.uab.es/files/MNT2014.pdf
UR  - http://dx.doi.org/10.1371/journal.pone.0087434
N1  - OR;MV
ID  - David Masip2014
ER  -