Face processing in humans is compatible with a simple shape-based model of vision
Understanding 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 recognit...
| Main Authors: | , , , |
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| Language: | en_US |
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2004
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/7283 |
| _version_ | 1811068526454112256 |
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| author | Riesenhuber Jarudi Gilad Sinha |
| author_facet | Riesenhuber Jarudi Gilad Sinha |
| author_sort | Riesenhuber |
| collection | MIT |
| description | Understanding 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. |
| first_indexed | 2024-09-23T07:57:17Z |
| id | mit-1721.1/7283 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T07:57:17Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/72832019-04-09T15:42:52Z Face processing in humans is compatible with a simple shape-based model of vision Riesenhuber Jarudi Gilad Sinha AI object recognition faces psychophysics inversion effect neuroscience comput Understanding 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. 2004-10-20T21:05:22Z 2004-10-20T21:05:22Z 2004-03-05 AIM-2004-006 CBCL-236 http://hdl.handle.net/1721.1/7283 en_US AIM-2004-006 CBCL-236 12 p. 1595221 bytes 690861 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | AI object recognition faces psychophysics inversion effect neuroscience comput Riesenhuber Jarudi Gilad Sinha Face processing in humans is compatible with a simple shape-based model of vision |
| title | Face processing in humans is compatible with a simple shape-based model of vision |
| title_full | Face processing in humans is compatible with a simple shape-based model of vision |
| title_fullStr | Face processing in humans is compatible with a simple shape-based model of vision |
| title_full_unstemmed | Face processing in humans is compatible with a simple shape-based model of vision |
| title_short | Face processing in humans is compatible with a simple shape-based model of vision |
| title_sort | face processing in humans is compatible with a simple shape based model of vision |
| topic | AI object recognition faces psychophysics inversion effect neuroscience comput |
| url | http://hdl.handle.net/1721.1/7283 |
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