Method for Face Identification with Facial Action Coding System: FACS Based on Eigen Value Decomposion
نویسندگان
چکیده
منابع مشابه
Method for Face Identification with Facial Action Coding System: FACS Based on Eigen Value Decomposition
Method for face identification based on eigen value decomposition together with tracing trajectories in the eigen space after the eigen value decomposition is proposed. The proposed method allows person to person differences due to faces in the different emotions. By using the well known action unit approach, the proposed method admits the faces in the different emotions. Experimental results s...
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Facial micro-expressions are fast and subtle facial motions that are considered as one of the most useful external signs for detecting hidden emotional changes in a person. However, they are not easy to detect and measure as they appear only for a short time, with small muscle contraction in the facial areas where salient features are not available. We propose a new computer vision method for d...
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In this paper we present a 3D facial animation system named FACe! It is able to generate different expressions of the face throughout punctual and combined activation of Action Units, defined by Facial Acting Coding System (FACS). This system is implemented on a 3D human head controlled by bones, riggers and skinning to deform the geometry. The bone system is implemented in order to move single...
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Automated recognition of facial expression is an important addition to computer vision research because of its relevance to the study of psychological phenomena and the development of human-computer interaction (HCI). We developed a computer vision system that automatically recognizes individual action units or action unit combinations in the upper face using Hidden Markov Models (HMMs). Our ap...
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The Facial Action Coding System (FACS) is a widely used protocol for recognizing and labelling facial expression by describing the movement of muscles of the face. FACS is used to objectively measure the frequency and intensity of facial expressions without assigning any emotional meaning to those muscle movements. Instead FACS breaks down facial expressions into their smallest discriminable mo...
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ژورنال
عنوان ژورنال: International Journal of Advanced Research in Artificial Intelligence
سال: 2012
ISSN: 2165-4069,2165-4050
DOI: 10.14569/ijarai.2012.010906