… Turk and Pentland [20] represent face images by eigen… face images in order to recognize
facial expressions. The first type is the geometric positions of a set of fiducial points on a face. …

… Finally, we investigate the significance of image scales for facial expression recognition in …
for facial expression recognition. On the other hand, the first layer of our multilayer perceptron …

… a facial expression in order to achieve a good recognition rate. The importance of each
individual fiducial point to facial expression recognition … scales for facial expression recognition in …

… constructive training algorithm for Multi Layer Perceptron (MLP) applied to facial expression
… Multi Layer Perceptron MLP architecture has been used as a classifier of facial expressions. …

… facial expression recognition using an active appearance model with an efficient second
order minimization algorithm as a tracking module and the MLP neural network as a recognition …

… , by combining DBNs with multi-layer perceptron (MLP), a new method of facial … for facial
expression recognition, in this paper we present a new method of facial expression recognition …

… This paper presents an automatic way to discover pixels in a face image that improves the
facial expression recognition results. Main contribution of our study is to provide a practical …

… in performing expression recognition. We analyze seven basic types of human expressions
– … feature extraction step, and a classification step that employs Multi Layer Perceptrons and …

… the characteristics for facial emotion detection. The characteristic detection stage will provide
input as pixel info to crops into the ResNet-50 network and crash the fully connected layers. …

… This research uses convolutional neural network to classify facial emotions and it adds … that
can recognize facial expression in static images. 2) Two thoroughly facial data sets are used …