Gurnsey R, Fleet D J
Department of Psychology, Concordia University, 7141 Sherbrooke Street West, Québec, H4B 1R6, Montréal, Canada.
Vision Res. 2001 Mar;41(6):745-57. doi: 10.1016/s0042-6989(00)00307-2.
Many previous studies have examined the ease with which two spatially adjacent textures can be segmented. Our goal is to examine the representational system that determines the appearance of isolated patches of visual texture. To this end, similarity judgments from three subjects were obtained for 20 artificial textures comprising filtered noise. Multidimensional scaling (MDS) revealed that three perceptual dimensions explain most of the variance in subjects' similarity judgments. In addition, the three subjects' similarity judgments and MDS solutions were highly correlated. A computational model utilizing the energy responses in seven bandpass filters explains an average of 80% of the variability in the original similarity scores of individual subjects. In the model, energy responses are mapped to the perceptual space through a linear transformation that can be decomposed into two components. The first component decorrelates initial filter responses and the second component maps the decorrelated filter responses to a perceptual space. These latter transformations show remarkable agreement between the three subjects.
许多先前的研究已经考察了分割两个空间相邻纹理的难易程度。我们的目标是研究决定视觉纹理孤立斑块外观的表征系统。为此，我们获得了三名受试者对20种由滤波噪声组成的人工纹理的相似性判断。多维标度法（MDS）表明，三个感知维度解释了受试者相似性判断中大部分的方差。此外，三名受试者的相似性判断和MDS解决方案高度相关。一个利用七个带通滤波器能量响应的计算模型平均解释了个体受试者原始相似性分数中80%的变异性。在该模型中，能量响应通过一个线性变换映射到感知空间，该线性变换可分解为两个分量。第一个分量使初始滤波器响应去相关，第二个分量将去相关的滤波器响应映射到一个感知空间。后一种变换在三名受试者之间显示出显著的一致性。
