Recognizing moving faces: a psychological and neural synthesis.

By Alice J. O'Toole, D. Roark, Hervé Abdi. Trends in Cognitive Sciences, 2002

524 citations recorded by the source corpus.

Information for identifying a human face can be found both in the invariant structure of features and in idiosyncratic movements and gestures. When both kinds of information are available, psychological evidence indicates that: (1) dynamic information contributes more to recognition under non-optimal viewing conditions, e.g. poor illumination, low image resolution, recognition from a distance; (2) dynamic information contributes more as a viewer's experience with the face increases; and (3) a structure-from-motion analysis can make a perceptually based contribution to face recognition. A recently proposed distributed neural system for face perception, with minor modifications, can accommodate the psychological findings with moving faces.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Neurology

View Paper: https://www.semanticscholar.org/paper/b4698e4046b34bfb9900fdb4106d088b7a85c699

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Citations in the corpus

Past, Present, and Future of Face Recognition: A Review (2020, background): “Face recognition has a long history; it stirs neurologists, psychologists, and computer scientists [2].”
The decline of cross-species intersensory perception in human infants: underlying mechanisms and its developmental persistence. (2008, result): “This conclusion is consistent with the finding that attributes that specify static faces provide less information than do attributes that specify dynamic faces ( O'Toole et al., 2002 ).”
Differential Ineffability and the Senses (2014, background): “…have more words for facial expressions like smile, frown, wink, furrow the brow, than we would have for different types of facial structure)—and, in fact, these dynamic aspects of face recognition are subserved by different functional and neural systems (Haxby et al., 2000; O’Toole et al., 2002).”
Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About (2006, background): “Rigid motion (such as that obtained from a camera rotating around a motionless head) can facilitate recognition of previously viewed faces [ 58 ], [71] but there seems to be very little, if any, benefit of seeing these views during the learning phase.”
Understanding the recognition of facial identity and facial expression (2005, background): “Therefore, projections from motion-sensitive regions — the human homologues of the middle temporal area (MT) or medial superior temporal area (MST) — to the STS might help to explain the role of the STS in the processing of changeable cue”