Improved gradient local ternary patterns for facial expression recognition
نویسندگان
چکیده
منابع مشابه
Facial expression recognition based on Local Binary Patterns
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 ...
متن کاملLocal gradient pattern - A novel feature representation for facial expression recognition
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...
متن کاملlocal gradient pattern - a novel feature representation for facial expression recognition
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...
متن کاملfacial expression recognition based on local binary patterns
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 ...
متن کاملLocal binary patterns for multi-view facial expression recognition
1077-3142/$ see front matter 2010 Elsevier Inc. A doi:10.1016/j.cviu.2010.12.001 ⇑ Corresponding author. E-mail addresses: [email protected] (S ac.uk (R. Bowden). Research into facial expression recognition has predominantly been applied to face images at frontal view only. Some attempts have been made to produce pose invariant facial expression classifiers. However, most of these atte...
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ژورنال
عنوان ژورنال: EURASIP Journal on Image and Video Processing
سال: 2017
ISSN: 1687-5281
DOI: 10.1186/s13640-017-0190-5