This paper presents a new idea for detecting an unknown human face in input imagery and recognizing his/her facial expression. The objective of this research is to develop highly intelligent machines or robots that are mind implemented. A Facial Expression Recognition system needs to solve the following problems: detection and location of faces in a cluttered scene, facial feature extraction, a...

Although Transformer can be powerful for modeling visual relations and describing complicated patterns, it could still perform unsatisfactorily video-based facial expression recognition, since the movements in a video too small to reflect meaningful spatial-temporal relations. To this end, we propose decompose of into series snippets, each which contains few frames, then boost Transformer’s abi...

This paper introduces a new video-based facial expression recognition system. Facial expression analysis encounters two major problems: non-rigid shape deformation and person-specific facial expression appearance. Our method analyzes the video sequence to recognize facial expression and locate the temporal apex of the facial expression by using modified Hough forest and minimizing the influence...

Facial expression recognition using various approaches (appearance, geometric or a combination of them) is an interesting and challenging research topic. It has many potential applications in humancomputer interaction, social robots, deceit detection and behavior monitoring. This paper proposes an automatic system for facial expression recognition which consists of a hybrid approach (appearance...

Objectives:Impairment in facial emotion recognition and facial emotion discrimination is established findings in autism spectrum disorders(ASD). And children with attention-deficit hyperactivity disorder (ADHD) also experience significant difficulty in recognizing and discriminating facial emotion. this study aimed to investigate the differences in facial emotion recognition and emotion discrim...

In this paper, we propose a novel approach for facial expression decomposition Higher-Order Singular Value Decomposition (HOSVD), a natural generalization of matrix SVD. We learn the expression subspace and person subspace from a corpus of images showing seven basic facial expressions, rather than resort to expert-coded facial expression parameters as in [3]. We propose a simultaneous face and ...

Facial-expression data often appear in multiple views either due to head-movements or the camera position. Existing methods for multi-view facial expression recognition perform classification of the target expressions either by using classifiers learned separately for each view or by using a single classifier learned for all views. However, these approaches do not explore the fact that multi-vi...

a r t i c l e i n f o Facial expression analysis has interested many researchers in the past decade due to its potential applications in various fields such as human–computer interaction, psychological studies, and facial animation. Three-dimensional facial data has been proven to be insensitive to illumination condition and head pose, and has hence gathered attention in recent years. In this p...

Facial Expression Recognition is one of the challenging and active research topic in the recent years. Facial Expression Recognition System comprises the detection of face, facial feature extraction and classification of facial expression from still images. This paper summarizes the major techniques to recognize the facial expressions from still images. The techniques included in this paper are...

The face is one of the most powerful channels of nonverbal communication. Facial expression provides cues about emotion, intention, alertness, pain, personality, regulates interpersonal behavior, and communicates psychiatric and biomedical status among other functions. Within the past 15 years, there has been increasing interest in automated facial expression analysis within the computer vision...