Spatial-frequency thresholds for object categorisation at basic and subordinate levels
Spatial-frequency thresholds for object categorisation at basic and subordinate levels
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DOI：
10.1068/p5445
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发表时间：
2006-01-01
期刊：
影响因子：
1.7
通讯作者：
Collin, CA
中科院分区：
文献类型：
--
作者：
Collin, CA
为了了解低层次视觉信息如何有助于对象分类，以前的研究已经检查了空间过滤图像在不同抽象层次上对对象识别的影响。在这里，通过使用调整方法和匹配样本方法的组合来确定基本和从属级别对象分类的定量阈值。参与者被要求调整截止值，或者对目标图像应用低通或高通滤波器，直到达到可以将目标图像与同时呈现的六个类别名称中的一个匹配的阈值。这使得识别所需的空间频率的定量分析比以前的研究更多。结果表明，与基本频率相比，更需要一个低空间频率的中心范围来进行从属分类，尽管差异很小，约为0.25个八度。相反，分类水平对高通阈值没有影响。
In an attempt to understand how low-level visual information contributes to object categorisation, previous studies have examined the effects of spatially filtering images on object recognition at different levels of abstraction. Here, the quantitative thresholds for object categorisation at the basic and subordinate levels are determined by using a combination of the method of adjustment and a match-to-sample method. Participants were asked to adjust the cut-off or either a low-pass or high-pass filter applied to a target image until they reached the threshold at which they could match the target image to one of six simultaneously presented category names. This allowed more quantitative analysis of the spatial frequencies necessary for recognition than previous studies. Results indicate that a more central range of low spatial frequencies is necessary for subordinate categorisation than basic, though the difference is small, at about 0.25 octaves. Conversely, there was no effect of categorisation level on high-pass thresholds.