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Document showing facial recognition with eigenfaces and fuzzy logic together
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This thesis presents a comprehensive overview of the problem of facial recognition. A survey of available facial detection algorithms as well as implementation and tests of di铿
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三维人脸识别的经典文章，是三维人脸表情识别论文争相引用的经典文章-Using Biologically Inspired Features for Face Processing
In this paper, we show that a new set of visual
features, derived from a feed-forward model of the primate
visual object recognition pathway proposed by R
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三维人脸识别的经典文章，是三维人脸表情识别引用极多的经典文章-The Painful Face – Pain Expression Recognition Using Active Appearance Models
Active Appearance Models, Support Vector Machines, Pain,
Facial expression, Automatic facial image analysis
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三维人脸识别的经典文章，也是三维人脸表情识别引用极多的文章，被模式识别杂志收录-Texture and shape information fusion for facial expression and facial action
unit recognition
Keywords: Facial expression recognition Facial Action Unit recognition Discriminant Non-Negative Matrix Factor
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三维人脸识别的经典文章，三维人脸表情引用次数极多的经典论文-Spontaneous Emotional Facial Expression Detection
Index Terms—affective computing, facial expression, one-class classification, emotion recognition
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Development of the Facial Feature Extraction and Emotion
Recognition Method based on ASM and Bayesian Network
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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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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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一篇讲述人脸表情识别研究的新进展的论文，包括一些已有的方法，以及一些新的方法-A paper on the new progress in the study of facial expression recognition, including some existing methods, and some new methods
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facial and iris 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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Introduce a novel illumination-robust local descr iptor named Sparse Linear Regression Binary (SLRB) descr iptor.
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