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PCA facial expression recognition
SPIE Proceedings, 2013This paper explores and compares techniques for automatically recognizing facial actions in sequences of images. The comparative study of Facial Expression Recognition (FER) techniques namely Principal Component’s analysis (PCA) and PCA with Gabor filters (GF) is done. The objective of this research is to show that PCA with Gabor filters is superior to
Inas H. El-Hori +2 more
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Facial Expression Recognition on partial facial sections
2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA), 2019Research by psychologists have shown that subjects had a preference for a side of a face when it was expressing emotions. This paper seeks to find what accuracies can be attained when only a segment of the face is considered. We show that using one side of the face only reduces accuracy by 0.34% but at half the computationally time required.
Ryan Melaugh +3 more
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Understanding the recognition of facial identity and facial expression
Nature Reviews Neuroscience, 2005Faces convey a wealth of social signals. A dominant view in face-perception research has been that the recognition of facial identity and facial expression involves separable visual pathways at the functional and neural levels, and data from experimental, neuropsychological, functional imaging and cell-recording studies are commonly interpreted within ...
Calder, A.J., Young, A.W.
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Facial expression recognition as a creative interface
Proceedings of the 13th international conference on Intelligent user interfaces, 2008We present an audiovisual creativity tool that automatically recognizes facial expressions in real time, producing sounds in combination with images. The facial expression recognition component detects and tracks a face and outputs a feature vector of motions of specific locations in the face.
Roberto Valenti +2 more
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Facial Expression Recognition with sEMG Method
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015Facial expression recognition has broad application prospects in the fields of psychological study, nursing care, Human Computer Interaction as well as affective computing. The method with surface Electromyogram (sEMG), which is one of vital bio-signals, has its superiority in several aspects such as high temporal resolution and data processing ...
Mingzhe Jiang +4 more
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Automatic Facial Expression Recognition
2006We present a fully automatic real time system for face detection and basic facial expression recognition from video and images. The system automatically detects frontal faces in the video stream or images and classifies each of them into 7 expressions. Each video frame is first scanned in real time to detect upright-frontal faces.
Huchuan Lu, Pei Wu, Hui Lin, Deli Yang
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Computer Recognition of Facial Expressions of Emotion
2012In this paper, we study the computer recognition of emotions involved in facial expressions. We propose a recognition system based on a support vector machine (SVM) system as a classifier for detecting of spontaneous emotions. Using a face detection algorithm we created theface representation.
Piątkowska, Ewa, Martyna, Jerzy
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2009
The facial expression has long been an interest for psychology, since Darwin published The expression of Emotions in Man and Animals (Darwin, C., 1899). Psychologists have studied to reveal the role and mechanism of the facial expression. One of the great discoveries of Darwin is that there exist prototypical facial expressions across multiple cultures
Daijin Kim, Jaewon Sung
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The facial expression has long been an interest for psychology, since Darwin published The expression of Emotions in Man and Animals (Darwin, C., 1899). Psychologists have studied to reveal the role and mechanism of the facial expression. One of the great discoveries of Darwin is that there exist prototypical facial expressions across multiple cultures
Daijin Kim, Jaewon Sung
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Hierarchical facial expression recognition
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022Xiang Zhang 0011 +5 more
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Simultaneous Facial Feature Tracking and Facial Expression Recognition
IEEE Transactions on Image Processing, 2013The tracking and recognition of facial activities from images or videos have attracted great attention in computer vision field. Facial activities are characterized by three levels. First, in the bottom level, facial feature points around each facial component, i.e., eyebrow, mouth, etc., capture the detailed face shape information.
Yongqiang Li +3 more
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