Gurnsey, R. and Fleet, D.J.
Texture Space.
Vision Research 41(3): 745-757, 2001

Similarity judgments from three subjects were obtained for twenty artificial textures comprising filtered noise. Multidimensional scaling (MDS) revealed that three perceptual dimensions explain most of the variance and subjects’ solutions are similar. Both individuals’ similarity judgments and MDS solutions were highly correlated. A computational model utilizing the energy responses in nine bandpass filters explains an average of 80% of the variability in the original similarity scores of individual subjects. 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.
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