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dc.contributor.authorRosen, Ezraen_US
dc.date.accessioned2004-10-01T14:00:11Z
dc.date.available2004-10-01T14:00:11Z
dc.date.issued2003-06-05en_US
dc.identifier.otherAITR-2003-010en_US
dc.identifier.otherCBCL-228en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5572
dc.description.abstractThe face inversion effect has been widely documented as an effect of the uniqueness of face processing. Using a computational model, we show that the face inversion effect is a byproduct of expertise with respect to the face object class. In simulations using HMAX, a hierarchical, shape based model, we show that the magnitude of the inversion effect is a function of the specificity of the representation. Using many, sharply tuned units, an ``expert'' has a large inversion effect. On the other hand, if fewer, broadly tuned units are used, the expertise is lost, and this ``novice'' has a small inversion effect. As the size of the inversion effect is a product of the representation, not the object class, given the right training we can create experts and novices in any object class. Using the same representations as with faces, we create experts and novices for cars. We also measure the feasibility of a view-based model for recognition of rotated objects using HMAX. Using faces, we show that transfer of learning to novel views is possible. Given only one training view, the view-based model can recognize a face at a new orientation via interpolation from the views to which it had been tuned. Although the model can generalize well to upright faces, inverted faces yield poor performance because the features change differently under rotation.en_US
dc.format.extent66 p.en_US
dc.format.extent13121869 bytes
dc.format.extent3182779 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAITR-2003-010en_US
dc.relation.ispartofseriesCBCL-228en_US
dc.subjectAIen_US
dc.subjectFace Recognitionen_US
dc.subjectRepresentationen_US
dc.subjectInvarianceen_US
dc.subjectHMAXen_US
dc.titleFace Representation in Cortex: Studies Using a Simple and Not So Special Modelen_US


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