The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Slant from texture and disparity cues: Optimal cue combination
Open accessAbstract
How does the visual system combine information from different depth cues to estimate three-dimensional scene parameters? We tested a maximum-likelihood estimation (MLE) model of cue combination for perspective (texture) and binocular disparity cues to surface slant. By factoring the reliability of each cue into the combination process, MLE provides more reliable estimates of slant than would be available from either cue alone. We measured the reliability of each cue in isolation across a range of slants and distances using a slant-discrimination task. The reliability of the texture cue increases as |slant| increases and does not change with distance. The reliability of the disparity cue decreases as distance increases and varies with slant in a way that also depends on viewing distance. The trends in the single-cue data can be understood in terms of the information available in the retinal images and issues related to solving the binocular correspondence problem. To test the MLE model, we measured perceived slant of two-cue stimuli when disparity and texture were in conflict and the reliability of slant estimation when both cues were available. Results from the two-cue study indicate, consistent with the MLE model, that observers weight each cue according to its relative reliability: Disparity weight decreased as distance and |slant| increased. We also observed the expected improvement in slant estimation when both cues were available. With few discrepancies, our data indicate that observers combine cues in a statistically optimal fashion and thereby reduce the variance of slant estimates below that which could be achieved from either cue alone. These results are consistent with other studies that quantitatively examined the MLE model of cue combination. Thus, there is a growing empirical consensus that MLE provides a good quantitative account of cue combination and that sensory information is used in a manner that maximizes the precision of perceptual estimates.
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“Adults integrate texture and disparity cues to reduce the uncertainty of their estimates of slant, adjusting their relative weightings as they change in reliability (3).”
From Fusion of visual cues is not mandatory in children (2010) · cites this paper as [3]
In the citing paper
“Human adults can reduce sensory uncertainty by integrating estimates, both across modalities (1, 2) (e.g., integrating vision and touch to judge size) and within a modality (3) (e.g., integrating visual stereoscopic and texture information to judge surface slant).”
From Fusion of visual cues is not mandatory in children (2010) · cites this paper as [3]
In the citing paper
“Our assumptions and approach are based on previous more detailed validation of similar stimuli (3).”
From Fusion of visual cues is not mandatory in children (2010) · cites this paper as [3]
Citations
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Faisal, A. A., Selen, L. P. J., & Wolpert, D. M. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2258 · Cited by 2,883
The Bayesian brain: The role of uncertainty in neural coding and computation
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Hoffman, D. M., Girshick, A. R., Akeley, K., & Banks, M. S. (2008) · Journal of Vision · doi:10.1167/8.3.33 · Cited by 1,641
Self-citationVisual Discomfort and Visual Fatigue of Stereoscopic Displays: A Review
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Metadata
- Authors
- Hillis, J. M., Watt, S. J., Landy, M. S., & Banks, M. S.
- Affiliations
- University of Pennsylvania (US)
- Bangor University (GB)
- New York University (US)
- University of California, Berkeley (US)
- Venue
- Journal of Vision
- Published
- 2004-12-01
- Volume
- 4
- Issue
- 12
- Pages
- 1
- ISSN
- 1534-7362 (ISSN-L)
- OpenAlex
- W2158527951
- Cited by
- 421
- References
- 48
- Citations by year
- 2026: 11 · 2025: 9 · 2024: 13 · 2023: 12 · 2022: 18 · 2021: 13 · 2020: 13 · 2019: 21 · 2018: 25 · 2017: 20 · 2016: 16 · 2015: 28 · 2014: 16 · 2013: 27 · 2012: 28
- FWCI
- 7.05
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Vision (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Eye Institute (R01EY012851, EY 08266, EY12851, R01EY008266)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- surface slant perception, cue combination, binocular disparity, maximum likelihood estimation, cue reliability, perceptual precision, depth perception
- MeSH terms
- Cues, Depth Perception, Form Perception, Humans, Pattern Recognition, Visual, Vision, Binocular, Vision Disparity, Likelihood Functions
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