A principal component analysis of facial expressions.

By Andrew J. Calder, A. Mike Burton, Paul Miller, A. Young, Shigeru Akamatsu. Vision Research, 2001

485 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/0fd77a6ade0732b7d35d95fbe73b3d1e077402cf

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In Cognitive Neuroscience

In Computer Vision and Pattern Recognition

Citations in the corpus

Robust representations for face recognition: the power of averages. (2005, methodology): “Some previous studies of artificial face recognition have analysed shape and texture information independently (e.g, Calder et al, 2001; Hancock, et al, 1996).”
Mechanisms of face perception. (2008, background): “…Author M anuscript N IH -PA Author M anuscript N IH -PA Author M anuscript PCA on sets of faces varying in both expression and identity generates some principal components that are useful for only expression or only identity discrimination, and others that are useful for both (Calder et al 2001).”
Neuropsychology of fear and loathing (2001, background): “For example, a hybrid model, in which discrete emotions are seen as preferred states or 'attractors' in a state-space defined by N (where N > 2 ) higher-order dimension”
Distributed Neural Systems for Face Perception (2011, background): “06-Calder-06.indd 110 12/23/2010 10:03:45 AM”
Automatic facial expression recognition using features of salient facial patches (2015, methodology): “The proposed method localizes face as well as the facial landmark points in an image, thereby extracting some salient patches that are estimated during training stage.”
Affective Body Expression Perception and Recognition: A Survey (2013, methodology): “structures for the processing of these three tasks [138], [139], [140].”
Recognizing emotion from facial expressions: psychological and neurological mechanisms. (2002, background): “Some mathematical models further argue that emotions shown in facial expressions could be thought of in a more abstract fashion that might exhibit features both of discrete emotions and continuous dimensions (Calder, Burton, et al., 2001).”
Facial expressions and complex IAPS pictures: Common and differential networks (2006, background): “Even though expressive faces and complex pictures may activate a similar set of regions, given the role of emotional facial expressions in transacting social behavior, emotional perception of faces is thought to be processed by a distinct circuitry (Calder et al., 2001), including superior temporal ”
Finally, faces find favor (2006, unknown): “Burton, 1998), emotion (Calder et al., 2001), sex (Valentin, Abdi,”
MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos (2016, background): “Interesting studies discuss findings about mental state of the speaker based on facial expressions, head gestures and other visual cues (El Kaliouby and Robinson, 2005; Baltrusaitis et.al., 2011; Calder et al., 2001; Rosenblum et al., 1996).”
Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition (2015, background): “capture the statistical structure of expressions efficiently [17].”