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Image segmentation and lightness perception

机译:图像分割和亮度感知

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The perception of surface albedo ( lightness) is one of the most basic aspects of visual awareness. It is well known that the apparent lightness of a target depends on the context in which it is embedded(1-6), but there is extensive debate about the computations and representations underlying perceived lightness. One view asserts that the visual system explicitly separates surface reflectance from the prevailing illumination and atmospheric conditions in which it is embedded(7-10), generating layered image representations. Some recent theory has challenged this view and asserted that the human visual system derives surface lightness without explicitly segmenting images into multiple layers(11,12). Here we present new lightness illusions - the largest reported to date - that unequivocally demonstrate the effect that layered image representations can have in lightness perception. We show that the computations that underlie the decomposition of luminance into multiple layers under conditions of transparency can induce dramatic lightness illusions, causing identical texture patches to appear either black or white. These results indicate that mechanisms involved in decomposing images into layered representations can play a decisive role in the perception of surface lightness.
机译:表面反照率(亮度)的感知是视觉意识的最基本方面之一。众所周知,目标的视在亮度取决于其嵌入的上下文(1-6),但是关于感知到的亮度的计算和表示存在广泛的争论。一种观点认为,视觉系统将表面反射率与嵌入其中的主要照明和大气条件明确分开(7-10),从而生成分层图像表示。最近的一些理论对这种观点提出了挑战,并断言人类视觉系统无需显式将图像分成多层即可获得表面亮度(11,12)。在这里,我们介绍了新的亮度幻觉-迄今为止最大的幻觉-明确地证明了分层图像表示对亮度感知的影响。我们表明,在透明性条件下将亮度分解成多层的基础的计算会引起剧烈的亮度错觉,从而导致相同的纹理斑块出现黑色或白色。这些结果表明,将图像分解为分层表示的机制可以在感知表面亮度方面起决定性作用。

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