Linearity across spatial frequency in object recognition
Linearity across spatial frequency in object recognition
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DOI：
10.1016/s0042-6989(97)00393-3
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发表时间：
1998-07-01
期刊：
影响因子：
1.8
通讯作者：
Engel, SA
中科院分区：
文献类型：
--
作者：
Olds, ES;Engel, SA
在三个实验中，我们测量了常见物体的三种图像的识别作为曝光时间的函数：主要包含低空间频率信息的分量图像，主要包含高空间频率信息的分量图像，以及通过对分量求和而产生的复合图像。我们的数据符合一个具有线性第一阶段的模型，在该模型中，对成分图像的响应之和等于对复合图像的响应之和。我们的数据不太符合通过概率求和组合分量响应的模型。这些结果支持复杂模式识别的线性滤波法。(C)1998爱思唯尔科学有限公司。版权所有。
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. (C) 1998 Elsevier Science Ltd. All.rights reserved.