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关于怀特效应、同时性明度对比和光栅诱导的多尺度空间滤波解释。

A multiscale spatial filtering account of the White effect, simultaneous brightness contrast and grating induction.

作者信息

Blakeslee B, McCourt M E

机构信息

Department of Psychology, North Dakota State University, Farga 58105-5075, USA.

出版信息

Vision Res. 1999 Oct;39(26):4361-77. doi: 10.1016/s0042-6989(99)00119-4.

Abstract

Blakeslee and McCourt ((1997) Vision Research, 37, 2849-2869) demonstrated that a multiscale array of two-dimensional difference-of-Gaussian (DOG) filters provided a simple but powerful model for explaining a number of seemingly complex features of grating induction (GI), while simultaneously encompassing salient features of brightness induction in simultaneous brightness contrast (SBC), brightness assimilation and Hermann Grid stimuli. The DOG model (and isotropic contrast models in general) cannot, however, account for another important group of brightness effects which includes the White effect (White (1979) Perception, 8, 413-416) and the demonstrations of Todorovic ((1997) Perception, 26, 379-395). This paper introduces an oriented DOG (ODOG) model which differs from the DOG model in that the filters are anisotropic and their outputs are pooled nonlinearly. The ODOG model qualitatively predicts the appearance of the test patches in the White effect, the Todorovic demonstration, GI and SBC, while quantitatively predicting the relative magnitudes of these brightness effects as measured psychophysically using brightness matching. The model also accounts for both the smooth transition in test patch brightness seen in the White effect (White & White (1985) Vision Research, 25, 1331-1335) when the relative phase of the test patch is varied relative to the inducing grating, and for the spatial variation of brightness across the test patch as measured using point-by-point brightness matching. Finally, the model predicts intensive aspects of brightness induction measured in a series of Todorovic stimuli as the arms of the test crosses are lengthened (Pessoa, Baratoff, Neumann & Todorokov (1998) Investigative Ophthalmology and Visual Science, Supplement, 39, S159), but fails in one condition. Although it is concluded that higher-level perceptual grouping factors may play a role in determining brightness in this instance, in general the psychophysical results and ODOG modeling argue strongly that the induced brightness phenomena of SBC, GI, the White effect and the Todorovic demonstration, primarily reflect early-stage cortical filtering operations in the visual system.

摘要

布莱克斯利和麦考特((1997年)《视觉研究》,第37卷,2849 - 2869页)证明,二维高斯差分(DOG)滤波器的多尺度阵列提供了一个简单但强大的模型,用于解释光栅诱导(GI)的许多看似复杂的特征,同时涵盖了同时亮度对比(SBC)、亮度同化和赫尔曼网格刺激中亮度诱导的显著特征。然而,DOG模型(以及一般的各向同性对比模型)无法解释另一组重要的亮度效应,其中包括怀特效应(怀特(1979年)《感知》,第8卷,413 - 416页)和托多罗维奇的演示((1997年)《感知》,第26卷,379 - 395页)。本文介绍了一种定向DOG(ODOG)模型,它与DOG模型的不同之处在于滤波器是各向异性的,并且它们的输出进行非线性合并。ODOG模型定性地预测了怀特效应、托多罗维奇演示、GI和SBC中测试斑块的外观,同时定量地预测了使用亮度匹配进行心理物理学测量时这些亮度效应的相对大小。该模型还解释了在怀特效应(怀特和怀特(1985年)《视觉研究》,第25卷,1331 - 1335页)中,当测试斑块相对于诱导光栅的相对相位变化时,测试斑块亮度的平滑过渡,以及使用逐点亮度匹配测量的测试斑块上亮度的空间变化。最后,该模型预测了在一系列托多罗维奇刺激中,随着测试十字的臂延长而测量的亮度诱导的强度方面(佩索阿、巴拉托夫、诺伊曼和托多罗科夫(1998年)《眼科与视觉科学研究》增刊,第39卷,S159),但在一种情况下失败了。虽然得出结论认为在这种情况下更高层次的感知分组因素可能在确定亮度方面起作用,但总体而言,心理物理学结果和ODOG建模有力地表明,SBC、GI、怀特效应和托多罗维奇演示的诱导亮度现象主要反映了视觉系统中的早期皮层滤波操作。

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