AUTOMATIC FACIAL EXPRESSION RECOGNITION USING 3D FACES
Chao Li, Antônio Marcos Figueiredo Soares · 2011
Automatic facial expression recognition has gained much attention during the last decade because of its potential application in areas such as more engaging human-computer interfaces. Automatic facial expression recognition is a subarea of face analysis research that is based heavily on methods of computer vision, machine learning, and image processing. Many efforts either to create a novel or to improve existing face expression recognition systems are, thus, inspired by advances in these related fields. This study explored the automatic recognition of facial expressions using 3D range images. In this paper, the development of an algorithm designed to distinguish between neutral and smiling faces is outlined, along with a summary of its experimental verification with a database containing 30 subjects, who posed for both neutral and smiling expressions. As a comparison with 2D facial expression recognition, a PCA algorithm was used to exact features from 2D images to be used for expression recognition. Results show that 3D facial expression recognition outperforms 2D ones.