Gurnsey, R. and Fleet, D.J.
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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