title: Linearity across spatial frequency in object recognition.
abstract: 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.
authors.affiliation: Department of Psychology, University of Waterloo, Ont., Canada.
authors.forename: E S
authors.initials: ES
authors.lastname: Olds
authors.forename: S A
authors.initials: SA
authors.lastname: Engel
mesh_terms: 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