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Volume: 30 | Article ID: art00015
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Quantifying how humans trade off color and material in object identification
  DOI :  10.2352/ISSN.2470-1173.2018.14.HVEI-516  Published OnlineJanuary 2018
Abstract

How do different object properties combine for the purposes of object identification? We developed a paradigm that allows us measure the degree to which human observers rely on one object property (e.g., color) vs. another (e.g., material) when they make forced-choice similarity judgments. On each trial of our experiment, observers viewed a target object paired with two test objects: a material match, that differed from the target only in color (along a green-blue axis) and a color match, that differed from the target only in material (along a glossy-matte axis). Across trials, the target was paired with different combinations of material-match and color-match tests and observers selected the test that appeared more similar to the target. To analyze observer responses, we developed a model (a two-dimensional generalization of the maximum-likelihood difference scaling method) that allows us to recover (1) the color-material weight, reflecting the relative importance of color vs. material in object identification and (2) the underlying positions of the material-match and color-match tests in a perceptual color-material space. Our results reveal large individual differences in the relative weighting of color vs. material.

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Ana Radonjić, Nicolas P. Cottaris, David H. Brainard, "Quantifying how humans trade off color and material in object identificationin Proc. IS&T Int’l. Symp. on Electronic Imaging: Human Vision and Electronic Imaging,  2018,  pp 1 - 6,  https://doi.org/10.2352/ISSN.2470-1173.2018.14.HVEI-516

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