TY  - CONF
AU  - Mario Rojas
AU  - David Masip
AU  - Jordi Vitria
A2  - IbPRIA
PY  - 2011//
TI  - Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models
BT  - 5th Iberian Conference on Pattern Recognition and Image Analysis
SP  - 371
EP  - 378
VL  - 6669
PB  - Springer Berlin Heidelberg
N2  - Most applications dealing with problems involving the face require a robust estimation of the facial salient points. Nevertheless, this estimation is not usually an automated preprocessing step in applications dealing with facial expression recognition. In this paper we present a simple method to detect facial salient points in the face. It is based on a prior Point Distribution Model and a robust object descriptor. The model learns the distribution of the points from the training data, as well as the amount of variation in location each point exhibits. Using this model, we reduce the search areas to look for each point. In addition, we also exploit the global consistency of the points constellation, increasing the detection accuracy. The method was tested on two separate data sets and the results, in some cases, outperform the state of the art.
SN  - 0302-9743
SN  - 978-3-642-21256-7
UR  - http://dx.doi.org/10.1007/978-3-642-21257-4_46
N1  - OR;MV
ID  - Mario Rojas2011
ER  -