Low level visual features support robust material perception in the judgement of metallicity.

ABSTRACT: The human visual system is able to rapidly and accurately infer the material properties of objects and surfaces in the world. Yet an inverse optics approach-estimating the bi-directional reflectance distribution function of a surface, given its geometry and environment, and relating this to the optical properties of materials-is both intractable and computationally unaffordable. Rather, previous studies have found that the visual system may exploit low-level spatio-chromatic statistics as heuristics for material judgment. Here, we present results from psychophysics and modeling that supports the use of image statistics heuristics in the judgement of metallicity-the quality of appearance that suggests an object is made from metal. Using computer graphics, we generated stimuli that varied al

SUBMITTER: Harvey JS 

PROVIDER: S-EPMC8361131 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature