ArticleJournal of vision2018
Depth variation and stereo processing tasks in natural scenes.
Article in Journal of vision, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A Common Prescription Lens Correction Causes Motion Illusions in the Presbyopic and General Populations.Investigative ophthalmology & visual science · 2026Article
- Monovision-induced motion illusions in presbyopic and non-presbyopic populations.bioRxiv : the preprint server for biology · 2025Article
- A Bayesian model of distance perception from ocular convergence.PLoS computational biology · 2025Article
- How distinct sources of nuisance variability in natural images and scenes limit human stereopsis.PLoS computational biology · 2025Article
- Optimal Estimation of Local Motion-in-Depth with Naturalistic Stimuli.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Feature-specific divisive normalization improves natural image encoding for depth perception.bioRxiv : the preprint server for biology · 2024Article
- Continuous psychophysics shows millisecond-scale visual processing delays are faithfully preserved in movement dynamics.Journal of vision · 2024Article
- Natural statistics of depth edges modulate perceptual stability.Journal of vision · 2020Article
- Natural scene statistics predict how humans pool information across space in surface tilt estimation.PLoS computational biology · 2020Article
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Authors and funding
2 authors.
Funding
Abstract
Local depth variation is a distinctive property of natural scenes, but its effects on perception have only recently begun to be investigated. Depth variation in natural scenes is due to depth edges between objects and surface nonuniformities within objects. Here, we demonstrate how natural depth variation impacts performance in two fundamental tasks related to stereopsis: half-occlusion detection and disparity detection. We report the results of a computational study that uses a large database of natural stereo-images and coregistered laser-based distance measurements. First, we develop a procedure for precisely sampling stereo-image patches from the stereo-images and then quantify the local depth variation in each patch by its disparity contrast. Next, we show that increased disparity contrast degrades half-occlusion detection and disparity detection performance and changes the size and shape of the spatial integration areas ("receptive fields") that optimize performance. Then, we show that a simple image-computable binocular statistic predicts disparity contrast in natural scenes. Finally, we report the most likely spatial patterns of disparity variation and disparity discontinuities (half-occlusions) in natural scenes. Our findings motivate computational and psychophysical investigations of the mechanisms that underlie stereo processing tasks in local regions of natural scenes.
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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.