Results 311 to 320 of about 5,950,781 (357)
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2000
Facial expression is usually synthesized or predicted on the basis of a given emotion. The prototypical expressions for basic emotions (happiness, sadness, surprise, disgust, anger, and fear) as postulated by discrete emotion psychologists are rather consistently produced and interpreted among different cultures, and can be used as icons to represent a
Thomas Wehrle, Susanne Kaiser
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Facial expression is usually synthesized or predicted on the basis of a given emotion. The prototypical expressions for basic emotions (happiness, sadness, surprise, disgust, anger, and fear) as postulated by discrete emotion psychologists are rather consistently produced and interpreted among different cultures, and can be used as icons to represent a
Thomas Wehrle, Susanne Kaiser
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Proceedings of the 8th annual conference on Computer graphics and interactive techniques - SIGGRAPH '81, 1981
Recognition and simulation of actions performable on rigidly-jointed actors such as human bodies have been the subject of our research for some time. One part of an ongoing effort towards a total human movement simulator is to develop a system to perform the actions of American Sign Language (ASL).
Stephen Platt, Norman I. Badler
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Recognition and simulation of actions performable on rigidly-jointed actors such as human bodies have been the subject of our research for some time. One part of an ongoing effort towards a total human movement simulator is to develop a system to perform the actions of American Sign Language (ASL).
Stephen Platt, Norman I. Badler
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Perceptual and Motor Skills, 2001
This study examined facial expression in the presentation of sarcasm. 60 responses (sarcastic responses = 30, nonsarcastic responses = 30) from 40 different speakers were coded by two trained coders. Expressions in three facial areas—eyebrow, eyes, and mouth—were evaluated. Only movement in the mouth area significantly differentiated ratings of sarcasm
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This study examined facial expression in the presentation of sarcasm. 60 responses (sarcastic responses = 30, nonsarcastic responses = 30) from 40 different speakers were coded by two trained coders. Expressions in three facial areas—eyebrow, eyes, and mouth—were evaluated. Only movement in the mouth area significantly differentiated ratings of sarcasm
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Representations for facial expressions
7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002., 2004Non-manual signals (NMS) are grammatical elements in sign languages. They may convey information that reinforces or is additional to the hand signing. NMS are similar to facial expressions except that, unlike spontaneous emotions, NMS are deliberate gestures. This paper explores the use of Independent Component Analysis (ICA) and Gabor wavelet networks
Khoo Wei Ming, Surendra Ranganath
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Facial expression in schizophrenia
Biological Psychiatry, 1996Recent empirical studies have found that schizophrenics exhibit diminished observable facial expressivity in response to emotional stimuli (e.g., Berenbaum and Oltmanns 1992; Kring et al 1993; Kring and Neale 1996) yet report experiencing similar levels of emotion as their normal counterparts; however, it remains unclear whether schizophrenics are ...
K S, Earnst +5 more
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Caricaturing facial expressions
Cognition, 2000The physical differences between facial expressions (e.g. fear) and a reference norm (e.g. a neutral expression) were altered to produce photographic-quality caricatures. In Experiment 1, participants rated caricatures of fear, happiness and sadness for their intensity of these three emotions; a second group of participants rated how 'face-like' the ...
A J, Calder +5 more
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2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005
The paper aims at recognizing the various human facial expressions. Every countenance is marked by changes in the feature points of the face. These feature points are located in various regions of the face. There are two phases in the facial expression recognition technique described here.
P.K. Manglik +3 more
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The paper aims at recognizing the various human facial expressions. Every countenance is marked by changes in the feature points of the face. These feature points are located in various regions of the face. There are two phases in the facial expression recognition technique described here.
P.K. Manglik +3 more
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Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments, 2021
The description of the results of five psychophysiological studies using automatic coding facial expression in adults and children (from 4 to 16 years) in the FaceReader software version 8.0 is presented.
E. Lyakso, O. Frolova, Yuri N. Matveev
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The description of the results of five psychophysiological studies using automatic coding facial expression in adults and children (from 4 to 16 years) in the FaceReader software version 8.0 is presented.
E. Lyakso, O. Frolova, Yuri N. Matveev
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2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443), 2004
We propose the concept of manifold of facial expression based on the observation that images of a subject's facial expressions define a smooth manifold in the high dimensional image space. Such a manifold representation can provide a unified framework for facial expression analysis.
Ya Chang, Changbo Hu, Matthew Turk 0001
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We propose the concept of manifold of facial expression based on the observation that images of a subject's facial expressions define a smooth manifold in the high dimensional image space. Such a manifold representation can provide a unified framework for facial expression analysis.
Ya Chang, Changbo Hu, Matthew Turk 0001
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Geometry Guided Pose-Invariant Facial Expression Recognition
IEEE Transactions on Image Processing, 2020Driven by recent advances in human-centered computing, Facial Expression Recognition (FER) has attracted significant attention in many applications. However, most conventional approaches either perform face frontalization on a non-frontal facial image or
Feifei Zhang +3 more
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