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一个信号需要满足什么条件才能被视为“分组”标签?

What is required for a signal to be qualified as a 'grouping' tag?

机构信息

Laboratory of Experimental Psychology, University of Leuven (K.U. Leuven), Belgium.

出版信息

Br J Psychol. 2011 Aug;102(3):676-81; author reply 682-3. doi: 10.1111/j.2044-8295.2011.02022.x. Epub 2011 Apr 19.

Abstract

In our commentary paper (Dry, Kogo, Putzeys, & Wagemans, 2010) on 'The utility of image descriptions in the initial stages of vision: a case study of printed text' (Watt & Dakin, 2010a), we raised a few concerns about the approach to perceptual grouping proposed by Watt and Dakin. Specifically, we argued that the 'overlap tokens' resulting from convolution with Gabor filters do not reflect the global configuration of the image and hence that they would not be able to reproduce cases of context-sensitive perception such as illusory contours in the Kanizsa image. In their reply to our commentary, Watt and Dakin (2010b) showed that the responses of their model do reflect the illusory contours. In the present brief commentary paper, we explain why their data are problematic. The crucial problem is that illusory contours are not mere borderlines drawn in the gap between the pacmen. Instead, the perception of the illusory contours corresponds to the existence of border-ownership signals, which reflect the global configuration of the image.

摘要

在我们关于“图像描述在视觉初始阶段的作用:以印刷文本为例”(Watt 和 Dakin,2010a)的评论文章(Dry、Kogo、Putzeys 和 Wagemans,2010)中,我们对 Watt 和 Dakin 提出的知觉群组化方法提出了一些担忧。具体来说,我们认为,与 Gabor 滤波器卷积产生的“重叠标记”并不反映图像的全局结构,因此它们无法重现上下文敏感知觉的情况,例如 Kanizsa 图像中的错觉轮廓。在对我们的评论的回复中,Watt 和 Dakin(2010b)表明他们的模型的反应确实反映了错觉轮廓。在本简短的评论文章中,我们解释了为什么他们的数据有问题。关键问题是错觉轮廓不是在 pacmen 之间的间隙中绘制的单纯边界线。相反,错觉轮廓的感知对应于边界所有权信号的存在,这些信号反映了图像的全局结构。

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