Shading Beats Binocular Disparity in Depth from Luminance Gradients: Evidence against a Maximum Likelihood Principle for Cue Combination

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Shading Beats Binocular Disparity in Depth from Luminance Gradients: Evidence against a Maximum Likelihood Principle for Cue Combination

Perceived depth is conveyed by multiple cues, including binocular disparity and luminance shading. Depth perception from luminance shading information depends on the perceptual assumption for the incident light, which has been shown to default to a diffuse illumination assumption. We focus on the case of sinusoidally corrugated surfaces to ask how shading and disparity cues combine defined by t...

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Luminance contrast has been identified as an effective depth cue through perceptual studies using digital images generated by the integrated technologies of physically based lighting simulation and perceptually based tone mapping. However, the prior established framework utilizes a single camera viewpoint, failing to address the binocular vision of the human visual system. In this study, the co...

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The accuracy of depth judgments that are based on binocular disparity or structure from motion (motion parallax and object rotation) was studied in 3 experiments. In Experiment 1, depth judgments were recorded for computer simulations of cones specified by binocular disparity, motion parallax, or stereokinesis. In Experiment 2, judgments were recorded for real cones in a structured environment,...

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ژورنال

عنوان ژورنال: PLOS ONE

سال: 2015

ISSN: 1932-6203

DOI: 10.1371/journal.pone.0132658