Anderson Barton L
Massachusetts Institute of Technology, Department of Brain & Cognitive Sciences, Cambridge, MA 02139, USA.
Psychol Rev. 2003 Oct;110(4):785-801. doi: 10.1037/0033-295X.110.4.785.
A theory is presented that explains how the visual system infers the lightness, opacity, and depth of surfaces from stereoscopic images. It is shown that the polarity and magnitude of image contrast play distinct roles in surface perception, which can be captured by 2 principles of perceptual inference. First, a contrast depth asymmetry principle articulates how the visual system computes the ordinal depth and lightness relationships from the polarity of local, binocularly matched image contrast. Second, a global transmittance anchoring principle expresses how variations in contrast magnitudes are used to infer the presence of transparent surfaces. It is argued that these principles provide a unified explanation of how the visual system computes the 3-D surface structure of opaque and transparent surfaces.
本文提出了一种理论,该理论解释了视觉系统如何从立体图像中推断表面的亮度、不透明度和深度。研究表明,图像对比度的极性和大小在表面感知中发挥着不同的作用,这可以通过两条感知推理原则来捕捉。第一,对比度深度不对称原则阐明了视觉系统如何根据局部双目匹配图像对比度的极性来计算顺序深度和亮度关系。第二,全局透射率锚定原则表达了对比度大小变化如何用于推断透明表面的存在。本文认为,这些原则为视觉系统如何计算不透明和透明表面的三维表面结构提供了统一的解释。