ArticleJournal of vision2010
Estimating changes in lighting direction in binocularly viewed three-dimensional scenes.
Article in Journal of vision, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Article
- Human vision is attuned to the diffuseness of natural light.Journal of vision · 2014Article
- Enhancement of glossiness perception by retinal-image motion: additional effect of head-yoked motion parallax.PloS one · 2013Article
- Inferred motion perception of light sources in 3D scenes is color-blind.i-Perception · 2013Article
- Detection of changes in luminance distributions.Journal of vision · 2011Article
- Color and material perception: achievements and challenges.Journal of vision · 2010Review
- Detection of light transformations and concomitant changes in surface albedo.Journal of vision · 2010Article
- Estimating the Illumination Direction From Three-Dimensional Texture of Brownian Surfaces.i-PerceptionArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
We examine human ability to detect changes in scene lighting. Thirteen observers viewed three-dimensional rendered scenes stereoscopically. Each scene consisted of a randomly generated three-dimensional "Gaussian bump" surface rendered under a combination of collimated and diffuse light sources. During each trial, the collimated source underwent a small, quick change of position in one of four directions. The observer's task was to classify the direction of the lighting change. All observers were above chance in performing the task. We developed a model that combined two sources of information, a shape map and a shading map, to predict lighting change direction. We used this model to predict patterns of errors both across observers and across scenes differing in shape. We found that errors in estimating lighting direction were primarily the result of errors in representing surface shape. We characterized the surface features that affected performance in the classification task.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.