Sentence examples for expression recognition using from inspiring English sources

Table 2 Comparison of facial expression recognition using JAFFE database.

Therefore, facial expression recognition using static images has attracted a lot of attention.

We performed facial expression recognition using the same setup as in the first segment.

However, facial expression recognition using static images is more difficult than that using image sequences because less information is available.

In this article, we proposed a 3D facial expression recognition using maximum relevance and minimum redundancy face geometry features.

According to a study that investigated facial expression recognition using LBP-TOP features, VS and near-infrared images produced similar facial expression recognition rates, provided that VS images had strong illumination [33].

Second, because we had to analyze the facial expression recognition data using nonparametric statistics, we were unable to control for group differences in IQ using ANCOVA procedures.

In this study, we propose a message based facial expression recognition system using geometrical features.

Fig. 7 Demonstration of object recognition, scene classification, event classification, and expression recognition accuracy using different thresholds.

Table 1 Facial expression recognition rate using the CK+ dataset with different subspace dimensionalities (case 1: no.

Table 3 Facial expression recognition rate using the JAFFE dataset with different subspace dimensionalities (case 1: no.