Linearity across spatial frequency in object recognition.
In three experiments, we measured recognition as a function of exposure duration for three kinds of images of common objects: component images containing mainly low-spatial-frequency information, components containing mainly high-spatial-frequency information, and compound images created by summing the components. Our data were well fit by a model with a linear first stage in which the sums of the responses to the component images equalled the responses to the compound images. Our data were less well fit by a model in which the component responses combined by probability summation. These results support linear filter accounts of complex pattern recognition.
Olds
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Department of Psychology, University of Waterloo, Ont., Canada.
Engel
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D005260:Female; D005556:Form Perception / Q000502:physiology*; D006801:Humans; D008297:Male; D008433:Mathematics; D008959:Models, Neurological; D010364:Pattern Recognition, Visual / Q000502:physiology; D013997:Time Factors