Configural Face Processing Develops more Slowly than Featural Face Processing

By Catherine J. Mondloch, Richard Le Grand, Daphne Maurer. Perception, 2002

687 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/9c44333601518f9fe76dcab3422269f7b7853340

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In Cognitive Neuroscience

In Computer Vision and Pattern Recognition

In Experimental and Cognitive Psychology

Citations in the corpus

Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About (2006, background): “In [ 54 ], the authors selectively manipulated spacing (moving the location of features on a face) versus features (taking eyes or mouth from different faces) and found what may be the source of the developmental progression of the inversion effect: six- and eight-year-olds show a relative deficit i”
Same-race faces are perceived more holistically than other-race faces (2004, background): “…are thus both impaired following early deprivation (Le Grand et al., 2001, 2004) but the former becomes adult-like much earlier (6 years old) than the latter, which may not be achieved fully until mid-adolescence (Carey, 1992; Carey & Diamond, 1994; Ellis & Ellis, 1994; Mondloch et al., 2002).”
The composite face effect in six-year-old children: Evidence of adult-like holistic face processing (2007, positive): “For example, recognition of facial identity based on the shape of internal features or the external contour is (nearly) adult-like by 6 years of age (Mondloch et al., 2002) and is spared after early visual deprivation (Le Grand, Mondloch, Maurer, & Brent, 2001; 2003), whereas recognition based on…”
Same-race faces are perceived more holistically than other-race faces (2006, background): “Holistic processing and second-order configuration sensitivity are thus both impaired following early deprivation (Le Grand et al., 2001, 2004) but the former becomes adult-like much earlier (6 years old) than the latter, which may not be achieved fully until mid-adolescence (Carey, 1992; Carey & Di”
A Developmental Approach to Machine Learning? (2017, background): “This is an aspect of human visual processing that does not begin to emerge until relatively late, around 5 to 7 years of age (Mondloch et al., 2002).”