Facial expression recognition based on local region specific features and support vector machines

TL;DR

This paper introduces a facial expression recognition method that combines local region-specific appearance and geometric features with support vector machines, improving accuracy over holistic approaches.

Contribution

The paper proposes a novel approach using domain-specific local features and incremental search for feature selection, enhancing recognition accuracy and reducing feature dimension.

Findings

Improved recognition accuracy with local region features

Effective feature dimension reduction via incremental search

Validated performance on CK+ dataset

Abstract

Facial expressions are one of the most powerful, natural and immediate means for human being to communicate their emotions and intensions. Recognition of facial expression has many applications including human-computer interaction, cognitive science, human emotion analysis, personality development etc. In this paper, we propose a new method for the recognition of facial expressions from single image frame that uses combination of appearance and geometric features with support vector machines classification. In general, appearance features for the recognition of facial expressions are computed by dividing face region into regular grid (holistic representation). But, in this paper we extracted region specific appearance features by dividing the whole face region into domain specific local regions. Geometric features are also extracted from corresponding domain specific regions. In addition, important local regions are determined by using incremental search approach which results in the reduction of feature dimension and improvement in recognition accuracy. The results of facial expressions recognition using features from domain specific regions are also compared with the results obtained using holistic representation. The performance of the proposed facial expression recognition system has been validated on publicly available extended Cohn-Kanade (CK+) facial expression data sets.