Literature DB >> 12039608

Recognizing moving faces: a psychological and neural synthesis.

Alice J. O'Toole1, Dana A. Roark, Hervé Abdi.   

Abstract

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.

Entities:  

Year:  2002        PMID: 12039608     DOI: 10.1016/s1364-6613(02)01908-3

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  104 in total

1.  Developmental Shifts in Detection and Attention for Auditory, Visual, and Audiovisual Speech.

Authors:  Susan Jerger; Markus F Damian; Cassandra Karl; Hervé Abdi
Journal:  J Speech Lang Hear Res       Date:  2018-12-10       Impact factor: 2.297

Review 2.  Processing faces and facial expressions.

Authors:  Mette T Posamentier; Hervé Abdi
Journal:  Neuropsychol Rev       Date:  2003-09       Impact factor: 7.444

3.  Repetition priming from moving faces.

Authors:  Karen Lander; Vicki Bruce
Journal:  Mem Cognit       Date:  2004-06

4.  Detecting personal familiarity depends on static frames in "thin slices" of behavior.

Authors:  Alyson Saville; Benjamin Balas
Journal:  Psychon Bull Rev       Date:  2014-12

5.  The contribution of symmetry and motion to the recognition of faces at novel orientations.

Authors:  Thomas A Busey; Safa R Zaki
Journal:  Mem Cognit       Date:  2004-09

6.  A search advantage for faces learned in motion.

Authors:  Karin S Pilz; Ian M Thornton; Heinrich H Bülthoff
Journal:  Exp Brain Res       Date:  2005-12-06       Impact factor: 1.972

7.  Performance enhancement for audio-visual speaker identification using dynamic facial muscle model.

Authors:  Vahid Asadpour; Farzad Towhidkhah; Mohammad Mehdi Homayounpour
Journal:  Med Biol Eng Comput       Date:  2006-09-26       Impact factor: 2.602

8.  Memory for moving and static images.

Authors:  W J Matthews; Clare Benjamin; Claire Osborne
Journal:  Psychon Bull Rev       Date:  2007-10

9.  Linking signal detection theory and encoding models to reveal independent neural representations from neuroimaging data.

Authors:  Fabian A Soto; Lauren E Vucovich; F Gregory Ashby
Journal:  PLoS Comput Biol       Date:  2018-10-01       Impact factor: 4.475

Review 10.  Beyond the FFA: The role of the ventral anterior temporal lobes in face processing.

Authors:  Jessica A Collins; Ingrid R Olson
Journal:  Neuropsychologia       Date:  2014-06-14       Impact factor: 3.139

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