Feature-location binding in 3D: Feature judgments are biased by 2D location but not position-in-depth.
Feature-location binding in 3D: Feature judgments are biased by 2D location but not position-in-depth.
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DOI：
10.1016/j.visres.2016.07.003
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发表时间：
2016-10
期刊：
影响因子：
1.8
通讯作者：
Golomb, Julie D.
中科院分区：
文献类型：
--
作者：
Finlayson, Nonie J.;Golomb, Julie D.
关键词：
人类视觉感知的一个基本方面是识别和定位环境中物体的能力。重要的是，我们的环境主要是三维（3D）的，但虽然有相当多的研究探索对象特征和位置的绑定，它是未知的深度信息如何与对象绑定过程中的功能相互作用。最近的一个范例称为空间一致性偏差表明，2D位置是从根本上绑定到对象的功能，这样不相关的位置信息偏见的对象功能的判断，但不相关的功能信息不偏见的位置或其他功能的判断。在这里，使用空间一致性偏差范式，我们询问深度是否被处理为另一种类型的位置，或者更像其他特征。我们初步发现，深度线索的双眼视差偏见的判断对象的颜色。然而，这一结果似乎更多地是由视差差异而不是深度感知驱动的：由遮挡和大小引起的深度提示不会使颜色判断产生偏差，而垂直视差信息（没有深度感知）确实会使颜色判断产生偏差。我们的研究结果表明，尽管我们的视觉环境的3D性质，只有2D位置信息-而不是位置的深度-似乎是自动绑定到对象的功能，与深度信息处理更类似于其他功能比2D位置。
A fundamental aspect of human visual perception is the ability to recognize and locate objects in the environment. Importantly, our environment is predominantly three-dimensional (3D), but while there is considerable research exploring the binding of object features and location, it is unknown how depth information interacts with features in the object binding process. A recent paradigm called the spatial congruency bias demonstrated that 2D location is fundamentally bound to object features, such that irrelevant location information biases judgments of object features, but irrelevant feature information does not bias judgments of location or other features. Here, using the spatial congruency bias paradigm, we asked whether depth is processed as another type of location, or more like other features. We initially found that depth cued by binocular disparity biased judgments of object color. However, this result seemed to be driven more by the disparity differences than the depth percept: Depth cued by occlusion and size did not bias color judgments, whereas vertical disparity information (with no depth percept) did bias color judgments. Our results suggest that despite the 3D nature of our visual environment, only 2D location information – not position-in-depth – seems to be automatically bound to object features, with depth information processed more similarly to other features than to 2D location.
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