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拥挤、分组与物体识别:外观问题。

Crowding, grouping, and object recognition: A matter of appearance.

作者信息

Herzog Michael H, Sayim Bilge, Chicherov Vitaly, Manassi Mauro

出版信息

J Vis. 2015;15(6):5. doi: 10.1167/15.6.5.

Abstract

In crowding, the perception of a target strongly deteriorates when neighboring elements are presented. Crowding is usually assumed to have the following characteristics. (a) Crowding is determined only by nearby elements within a restricted region around the target (Bouma's law). (b) Increasing the number of flankers can only deteriorate performance. (c) Target-flanker interference is feature-specific. These characteristics are usually explained by pooling models, which are well in the spirit of classic models of object recognition. In this review, we summarize recent findings showing that crowding is not determined by the above characteristics, thus, challenging most models of crowding. We propose that the spatial configuration across the entire visual field determines crowding. Only when one understands how all elements of a visual scene group with each other, can one determine crowding strength. We put forward the hypothesis that appearance (i.e., how stimuli look) is a good predictor for crowding, because both crowding and appearance reflect the output of recurrent processing rather than interactions during the initial phase of visual processing.

摘要

在拥挤现象中,当呈现相邻元素时,目标的感知会严重恶化。拥挤现象通常被认为具有以下特征:(a)拥挤现象仅由目标周围受限区域内的附近元素决定(布马定律);(b)增加侧翼元素的数量只会使表现变差;(c)目标与侧翼元素的干扰具有特征特异性。这些特征通常由合并模型来解释,这与经典的物体识别模型的精神非常契合。在本综述中,我们总结了最近的研究结果,这些结果表明拥挤现象并非由上述特征决定,因此对大多数拥挤模型提出了挑战。我们提出,整个视野中的空间配置决定了拥挤现象。只有当人们了解视觉场景中的所有元素如何相互组合时,才能确定拥挤强度。我们提出一个假设,即外观(即刺激的样子)是拥挤现象的一个良好预测指标,因为拥挤现象和外观都反映了循环处理的输出,而不是视觉处理初始阶段的相互作用。

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