Linearity across spatial frequency in object recognition.

E S Olds; S A Engel

doi:10.1016/s0042-6989(97)00393-3

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PubMed · 9797971

Linearity across spatial frequency in object recognition.

E S Olds·S A Engel

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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.

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Female Form Perception Humans Male Mathematics Models, Neurological Pattern Recognition, Visual Time Factors Journal Article Research Support, U.S. Gov't, Non-P.H.S.

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E S Olds, S A Engel. 1998. Linearity across spatial frequency in object recognition.. https://doi.org/10.1016/s0042-6989(97)00393-3

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