Facial Impression Recognition Based on Facial Texture Information

Abstract

Facial consciousncss and recognition have been studied for many years. However, these studies have only extracted the feature of facial impression. Some studies have treated the evaluation of facial impression. In those studies, liking, age, and gender were evaluated with respect to facial impression. Therefore, there are no details on whether we evaluate various general facial impressions in daily life. Moreover, the result of evaluation using those studied features depends on the facial-parts-extraction accuracy. Then, we use texture features for facial impression recognition in this study. The texture features can be extracted stably, because we need not specify their positions. We extract texture features in the mesh state. We can extract physical features by this technique without specifying the detailed location of features, unlike the conventional method. Finally, we show the effectiveness of our proposed method compared with previous studies.