Facial expression recognition is an interesting and challenging subject in signal processing and artificial intelligence. In this paper, a new method of facial expression recognition based on the sparse representation classifier (SRC) is presented. Two typical appearance facial features, i.e., local binary patterns (LBP) and Gabor wavelets representations are extracted to evaluate the performan...

Facial expression recognition provides rich information for human-robot interaction with respect to emotions. This paper presents a facial expression recognition method that recognizes facial expressions as well as intensity and mixture ratio of basic facial expressions. In this system, K-means clustering method is applied on Cohn-Kanade image database. Algorithms are adopted to align the input...

.......................................................................................................................23 Chapter 1 Introduction...............................................................................................25 1.1. Background and Motivations............................................................................25 1.2. Summary of Principle Contributions ........

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...

This paper proposes a method that can spot and recognize each facial expression from time-sequential images that contain multiple facial expressions that could abruptly change from one expression to another expression. Previously, the authors have proposed an HMM (Hidden Markov Models) based method for recognizing a spotted facial expression. In this paper, to HMM, we add states corresponding t...

We propose a novel expression transfer method based on an analysis of the frequency of multi-expression facial images. We locate the facial features automatically and describe the shape deformations between a neutral expression and non-neutral expressions. The subtle expression changes are important visual clues to distinguish different expressions. These changes are more salient in the frequen...

This paper introduces emotion recognition for facial expression images using Hidden Markov Model (HMM). Firstly, facial expression images are transformed using discrete cosine transformation and feature is extraction; then HMMs of facial expression images are constructed, and the observation vectors are generated using sub-window, hence, process of emotion recognition for facial expression imag...

In this paper, we present a method for fully automatic facial expression recognition in facial image sequences using feature extracted from tracking of facial landmarks. The facial landmarks at the first frame of the image sequence under examination are initialized using elastic bunch graph matching (EBGM) algorithm and tracked in the consecutive video frame over time. At first, the most discri...

Emotional expressions are the behaviors that communicate our emotional state or attitude to others. They expressed through verbal and non-verbal communication. Complex human behavior can be understood by studying physical features from multiple modalities; mainly facial, vocal gestures. Recently, spontaneous multi-modal emotion recognition has been extensively studied for analysis. In this pape...

The authors examined face perception models with regard to the functional and temporal organization of facial identity and expression analysis. Participants performed a manual 2-choice go/no-go task to classify faces, where response hand depended on facial familiarity (famous vs. unfamiliar) and response execution depended on facial expression (happy vs. angry). Behavioral and electrophysiologi...