Face Profile Segmentation

AUTHORS:
Tomas Chrpa, Pavel Hrubes, Pavel Paclik, Jiri Prchal, Pavel Ptak, Lukas Vydra,

PUBLISHED:

KEYWORDS:

ABSTRACT:
Face profile may serve as an important information source for human emotion recognition. In this report, a novel approach for profile segmentation is presented. Changes of the face profile under various emotions are measured from real images and discussed in order to provide a knowledge base for further feature selection process. Movements of basic face parts like lips and chin are considered to be of the crucial importance for emotion recognition. The whole algorithm of face profile segmentation was implemented under Matlab and ISFER framework.