Topic
Facial expression
About: Facial expression is a research topic. Over the lifetime, 17085 publications have been published within this topic receiving 639905 citations. The topic is also known as: expression.
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TL;DR: In this paper, cross-cultural research on facial expression and the developments of methods to measure facial expression are summarized and what has been learned about emotion from this work on the face is elucidated.
Abstract: Cross-cultural research on facial expression and the developments of methods to measure facial expression are briefly summarized. What has been learned about emotion from this work on the face is then elucidated. Four questions about facial expression and emotion are discussed: What information does an expression typically convey? Can there be emotion without facial expression? Can there be a facial expression of emotion without emotion? How do individuals differ in their facial expressions of emotion?
2,155 citations
14 Apr 1998
TL;DR: The results show that it is possible to construct a facial expression classifier with Gabor coding of the facial images as the input stage and the Gabor representation shows a significant degree of psychological plausibility, a design feature which may be important for human-computer interfaces.
Abstract: A method for extracting information about facial expressions from images is presented. Facial expression images are coded using a multi-orientation multi-resolution set of Gabor filters which are topographically ordered and aligned approximately with the face. The similarity space derived from this representation is compared with one derived from semantic ratings of the images by human observers. The results show that it is possible to construct a facial expression classifier with Gabor coding of the facial images as the input stage. The Gabor representation shows a significant degree of psychological plausibility, a design feature which may be important for human-computer interfaces.
2,100 citations
TL;DR: This paper empirically evaluates facial representation based on statistical local features, Local Binary Patterns, for person-independent facial expression recognition, and observes that LBP features perform stably and robustly over a useful range of low resolutions of face images, and yield promising performance in compressed low-resolution video sequences captured in real-world environments.
2,098 citations
TL;DR: Findings suggest the human amygdala may be indispensable to recognize fear in facial expressions, but is not required to recognize personal identity from faces, and constrains the broad notion that the amygdala is involved in emotion.
Abstract: Studies in animals have shown that the amygdala receives highly processed visual input, contains neurons that respond selectively to faces, and that it participates in emotion and social behaviour Although studies in epileptic patients support its role in emotion, determination of the amygdala's function in humans has been hampered by the rarity of patients with selective amygdala lesions Here, with the help of one such rare patient, we report findings that suggest the human amygdala may be indispensable to: (1) recognize fear in facial expressions; (2) recognize multiple emotions in a single facial expression; but (3) is not required to recognize personal identity from faces These results suggest that damage restricted to the amygdala causes very specific recognition impairments, and thus constrains the broad notion that the amygdala is involved in emotion
2,091 citations
TL;DR: The present article presents the freely available Radboud Faces Database, a face database in which displayed expressions, gaze direction, and head orientation are parametrically varied in a complete factorial design, containing both Caucasian adult and children images.
Abstract: Many research fields concerned with the processing of information contained in human faces would benefit from face stimulus sets in which specific facial characteristics are systematically varied while other important picture characteristics are kept constant. Specifically, a face database in which displayed expressions, gaze direction, and head orientation are parametrically varied in a complete factorial design would be highly useful in many research domains. Furthermore, these stimuli should be standardised in several important, technical aspects. The present article presents the freely available Radboud Faces Database offering such a stimulus set, containing both Caucasian adult and children images. This face database is described both procedurally and in terms of content, and a validation study concerning its most important characteristics is presented. In the validation study, all frontal images were rated with respect to the shown facial expression, intensity of expression, clarity of expression, genuineness of expression, attractiveness, and valence. The results show very high recognition of the intended facial expressions.
2,041 citations