Face analysis through semantic face segmentation

Sergio Benini, Khalil Khan, Riccardo Leonardi, Massimo Mauro, Pierangelo Migliorati

Abstract: Highlights•A multi-feature framework performing face analysis, including facial part segmentation, head pose estimation, gender recognition, and expression classification.•Performance of the proposed face analysis framework is evaluated on four standard face databases, namely Pointing’04, FEI, FERET, and MPI, with results which outperform the current state-of-the-art.•A public face data repository, namely FASSEG, containing more than 270 images taken from the MIT-CBCL, Pointing’04, and the FEI databases annotated pixel-wise on six semantic classes.