Estimating the illumination direction from three- dimensional texture of Brownian surfaces

Publication date

2017

Authors

Pont, Sylvia C
van Doorn, AndreaISNI 000000038704944X
Koenderink, JanISNI 0000000365833575

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Document Type

Article
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Abstract

We studied whether human observers can estimate the illumination direction from 3D textures of random Brownian surfaces, containing undulations over a range of scales. The locally Lambertian surfaces were illuminated with a collimated beam from random directions. The surfaces had a uniform albedo and thus texture appeared only through shading and shadowing. The data confirm earlier results with Gaussian surfaces, containing undulations of a single scale. Observers were able to accurately estimate the source azimuth. If shading dominated the images, the observers committed 180° errors. If cast shadows were present, they resolved this convex-concaveambiguity almost completely. Thus, observers relied on second-order statistics in the shading regime and used an unidentified first-order cue in the shadow regime. The source elevations could also be estimated, which can be explained by the observers' exploitation of the statistical homogeneity of the stimulus set. The fraction of the surface that is in shadow and the median intensity are likely cues for these elevation estimates.

Keywords

Brownian surface, Illuminance flow, Illumination direction, Light field, Shading, Shadowing, Texture, Experimental and Cognitive Psychology, Sensory Systems, Artificial Intelligence

Citation

Pont, S C, van Doorn, A J & Koenderink, J J 2017, 'Estimating the illumination direction from three- dimensional texture of Brownian surfaces', i-Perception, vol. 8, no. 2, pp. 1-18. https://doi.org/10.1177/2041669517701947