D'Zmura M, Rinner O, Gegenfurtner K R
Max-Planck-Institut für biologische Kybernetik, Spemanstrasse 38, D 72076 Tübingen, Germany.
Perception. 2000;29(8):911-26. doi: 10.1068/p2988.
How do the colors and lightnesses of surfaces seen to lie behind a transparent filter depend on the chromatic properties of the filter? A convergence model developed in prior work (D'Zmura et al, 1997 Perception 26 471-492; Chen and D'Zmura, 1998 Perception 27 595-608) suggests that the visual system interprets a filter's transformation of color in terms of a convergence in color space. Such a convergence is described by a color shift and a change in contrast. We tested the model using an asymmetric matching task. Observers adjusted, in computer graphic simulation, the color of a surface seen behind a transparent filter in order to match the color of a surface seen in plain view. The convergence model fits the color-matching results nearly as well as a more general affine-transformation model, even though the latter has many more parameters. Other models, including von Kries scaling, did not perform as well. These results suggest that the color constancy revealed in this task is described best by a model that takes into account both color shifts and changes in contrast.
透过透明滤光器看到的表面颜色和亮度如何取决于滤光器的色彩特性？先前研究中提出的一种融合模型（D'Zmura等人，1997年，《感知》26卷，471 - 492页；Chen和D'Zmura，1998年，《感知》27卷，595 - 608页）表明，视觉系统依据颜色空间中的融合来解释滤光器对颜色的转换。这种融合由颜色偏移和对比度变化来描述。我们使用非对称匹配任务对该模型进行了测试。在计算机图形模拟中，观察者调整透过透明滤光器看到的表面颜色，以使其与直接观察到的表面颜色相匹配。融合模型对颜色匹配结果的拟合程度几乎与更通用的仿射变换模型相同，尽管后者有更多参数。包括冯·克里司（von Kries）缩放在内的其他模型表现则不如这两个模型。这些结果表明，此任务中揭示的颜色恒常性最好由一个同时考虑颜色偏移和对比度变化的模型来描述。
