نتایج جستجو برای: Facial recognition
تعداد نتایج: 299044 فیلتر نتایج به سال:
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...
Nonnegative Matrix Factorization (NMF) algorithms have been utilized in a wide range of real applications. NMF is done by several researchers to its part based representation property especially in the facial expression recognition problem. It decomposes a face image into its essential parts (e.g. nose, lips, etc.) but in all previous attempts, it is neglected that all features achieved by NMF ...
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...
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...
objective: no research has been conducted on facial emotional recognition on patients with borderline personality disorder (bpd) and schizotypal personality disorder (spd). the present study aimed at comparing facial emotion recognition in these patients with the general population. the neurocognitive processing of emotions can show the pathologic style of these 2 disorders. method: twenty ...
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...
Objective: The disability to recognize facial emotions is one of the behavioral problems in autistic children. This study was designed to evaluate the effect of education on the promotion of face recognition. Methods: This single-blind clinical trial study was conducted on children with autism. The participants were allocated with random sampling to the two groups. Autistic children in the int...
Objective: Depressed patients harbor maladaptive schemas that distort social reality and impaired facial expression recognition. Thus, this study aims at identifying specific associations among depressive symptoms, early maladaptive schemas, and patterns of for recognizing facially expressed emotions. Methods: 100 subjects diagnosed with depressive symptoms were selected from a larger statisti...
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 ...
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