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Coding, Analysis, Interpretation, and
Recognition of Facial Expressions
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Facial Expression Recognition from Image Sequences
Using Optimized Feature Selection
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Abstract. We present a novel 3D face recognition approach based on
geometric invariants introduced by Elad and Kimmel. The key idea of
the proposed algorithm is a representation of the facial surface, invari-
ant to isometric deformations, such
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Abstract—Recently, a 3D face recognition approach based on
geometric invariant signatures, has been proposed. The key idea
of the algorithm is a representation of the facial surface, invariant
to isometric deformations, such as those result
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基于ICA算法实现的人脸特征识别和分离程序及其说明文档-ICA algorithm based on the facial feature recognition and separation program and its documentation
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基于稀疏学习理论对人脸表情分析中灰度、局部二值模式、C}abor等不同面部特征的稀疏表达问题进行了研究。首先,对稀疏表达、K-S V D以及D-KSVD等稀疏学习算法进行了分析 接着,在JAFFF人脸表情数据库上对不同算法进行了表情识别实验。-Facial Expression Recognition Based on Sparse Leaning
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This study proposes a novel near infrared face recognition algorithm based on a combination of both
local and global features. In this method local features are extracted from partitioned images by means
of undecimated discrete wavelet transform
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为了实现复杂环境下的人脸特征有效表达,提出一种改进的梯度方向直方图(HOG)人脸识别方法.首先以人脸图像网格作为采样窗口并在其上提取 HOG特征;然后将所有网格 HOG特征向量进行组合,实现整个人脸特
征表达;最后采用最近邻分类器进行识别.另外,比较了该方法与Gabor小波和局部二值模式(LBP)2种著名的人脸
局部特征表示方法的优劣.实验结果表明,在调优的 HOG参数下,在具有光照和时间环境等复杂变化的FERET人
脸库中,较少维数的 HOG特征比LBP特征有更好的表现,而且 HO
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facial and iris recognition
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sir i want the source code and document of facial feature extraction, facial classification and facial expression recognition.
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This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
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This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
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Face recognition [1], the least intrusive biometric technique
in terms of acquisition, has been applied to a wide range
of commercial and law enforcement applications. State-ofthe-
art face recognition systems perform with high accuracy
under
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Selection and Efficient Use of Local Features for Face and Facial Expression Recognition in
a Cortical Architecture.
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In this paper we propose a novel approach for indentityindependent
3D facial expression recognition. Our approach
is based on shape analysis of local patches extracted
3D facial shape model.
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