Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing regions, one question remains unanswered: what is the impact of these on subsequent related tasks? In this paper, focus put expression recognition (FER), where landmarks used face registration, which a common usage. Since most datasets do not allow proper measurement performance accordin...

Facial expressions give important information about emotions of a person. Understanding facial expressions accurately is one of the challenging tasks for interpersonal relationships. Automatic emotion detection using facial expressions recognition is now a main area of interest within various fields such as computer science, medicine, and psychology. HCI research communities also use automated ...

A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the way is to do this is by comparing selected facial features from the image and a facial database.It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition ...

Facial expression recognition is an important technology in human-computer interaction. This study investigates a method for facial expression recognition using quaternion neural networks. A multi-layer quaternion neural network that conducts its learning using a quaternion back-propagation algorithm is employed to design the facial expression recognition system. The input feature vector of the...

Facial expression recognition has different applications in the real world. We present a method to identify facial expressions taken from camera and build a parallel facial expression recognition system. A statistical technique such as Principal Component Analysis is used for dimensionality reduction and recognition and widely used for facial feature extraction and recognition. To test and eval...