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Face processing in humans is compatible with a simple shape-based model of vision

dc.date.accessioned2004-10-20T21:05:22Z
dc.date.accessioned2018-11-24T10:23:41Z
dc.date.available2004-10-20T21:05:22Z
dc.date.available2018-11-24T10:23:41Z
dc.date.issued2004-03-05en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/7283
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/7283
dc.description.abstractUnderstanding how the human visual system recognizes objects is one of the key challenges in neuroscience. Inspired by a large body of physiological evidence (Felleman and Van Essen, 1991; Hubel and Wiesel, 1962; Livingstone and Hubel, 1988; Tso et al., 2001; Zeki, 1993), a general class of recognition models has emerged which is based on a hierarchical organization of visual processing, with succeeding stages being sensitive to image features of increasing complexity (Hummel and Biederman, 1992; Riesenhuber and Poggio, 1999; Selfridge, 1959). However, these models appear to be incompatible with some well-known psychophysical results. Prominent among these are experiments investigating recognition impairments caused by vertical inversion of images, especially those of faces. It has been reported that faces that differ "featurally" are much easier to distinguish when inverted than those that differ "configurally" (Freire et al., 2000; Le Grand et al., 2001; Mondloch et al., 2002) ??finding that is difficult to reconcile with the aforementioned models. Here we show that after controlling for subjects' expectations, there is no difference between "featurally" and "configurally" transformed faces in terms of inversion effect. This result reinforces the plausibility of simple hierarchical models of object representation and recognition in cortex.en_US
dc.format.extent12 p.en_US
dc.format.extent1595221 bytes
dc.format.extent690861 bytes
dc.language.isoen_US
dc.subjectAIen_US
dc.subjectobject recognitionen_US
dc.subjectfacesen_US
dc.subjectpsychophysicsen_US
dc.subjectinversion effecten_US
dc.subjectneuroscienceen_US
dc.subjectcomputen_US
dc.titleFace processing in humans is compatible with a simple shape-based model of visionen_US


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