نتایج جستجو برای: facial expression analysis
تعداد نتایج: 3555862 فیلتر نتایج به سال:
automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. it has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. in this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...
classical lbp such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. in this paper, we introduce an improved lbp algorithm to solve these problems that utilizes fast pca algorithm for reduction of vector dimensions of extracted features. in other words, proffer method (fast pca+lbp) is an improved lbp algorithm that is extracted ...
Background : One of the emotional factors involved in major depressive disorder is recognition of facial expression of emotion. The aim of present study was to compare the recognition of facial expression of emotion in patients with major depressive disorder and normal people. Materials and Methods: 20 patients with major depression and 20 normal people were selected using available sampling m...
Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
many researchers adopt local binary pattern for pattern analysis. however, the long histogram created by local binary pattern is not suitable for large-scale facial database. this paper presents a simple facial pattern descriptor for facial expression recognition. local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...
Many researchers adopt Local Binary Pattern for pattern analysis. However, the long histogram created by Local Binary Pattern is not suitable for large-scale facial database. This paper presents a simple facial pattern descriptor for facial expression recognition. Local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...
Improvement of Facial expression recognition is aim of proposed method. This is a new formulation to the linear discriminant analysis. In the new formulation within-class and between-class covariance matrix are estimated on the each cluster and in the test phase new samples are mapped to the subspace that is related to the cluster of them. At the first we addressed clustering analysis of faces ...
facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. in recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. as machine vision and artificial intelligence advan...
Facial expressions play an essential role in delivering emotions. Thus facial expression synthesis gain interests in many fields such as computer vision and graphics. Facial actions are generated by contraction and relaxation of the muscles innervated by facial nerves. The combination of those muscle motions is numerous. therefore, facial expressions are often person specific. But in general, f...
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