Image phase or amplitude?: Rapid scene categorization is an amplitude-based process

被引:56
作者
Guyader, N
Chauvin, A
Peyrin, C
Hérault, J
Marendaz, C
机构
[1] Inst Natl Polytech Grenoble, CNRS, Lab Images & Signaux, F-38031 Grenoble, France
[2] UPMF, CNRS, Lab Psychol & Neurocognit, F-38040 Grenoble, France
关键词
image Fourier transform; natural scenes; categorization;
D O I
10.1016/j.crvi.2004.02.006
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Models of the visual cortex are based on image decomposition according to the Fourier spectrum (amplitude and phase). On one hand, it is commonly believed that phase information is necessary to identify a scene. On the other hand, it is known that complex cells of the visual cortex, the most numerous ones, code only the amplitude spectrum. This raises the question of knowing if these cells carry sufficient information to allow visual scene categorization. In this work, using the same experiments in computer simulation and in psychophysics, we provide arguments to show that the amplitude spectrum alone is sufficient for categorization task. (C) 2004 Academie des sciences. Published by Elsevier SAS. All rights reserved.
引用
收藏
页码:313 / 318
页数:6
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