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 filler accounts of complex pattern recognition.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2109-2118 |
| Number of pages | 10 |
| Journal | Vision Research |
| Volume | 38 |
| Issue number | 14 |
| DOIs | |
| State | Published - Jul 1998 |
| Externally published | Yes |
Bibliographical note
Funding Information:This work was supported by a Defense Department A.F.O.S.R. grant to EO. These experiments comprised part of EO’s Ph.D. dissertation, at Stanford University. We are grateful for helpful comments and assistance from Geoffrey Boynton, Christopher Furmanski, David Heeger, Geoffrey Loftus, David Rumelhart, Philip Servos, David Tolhurst, Brian Wandell, and Xuemei Zhang.
Copyright:
Copyright 2007 Elsevier B.V., All rights reserved.
Keywords
- Animal
- Human
- Linear
- Object
- Recognition
- Spatial frequency