Measurement and Modeling of Depth Cue Combination¶
Landy, M. S., Maloney, L. T., Johnston, E. B., & Young, M. (1995). Measurement and Modeling of Depth Cue Combination: In Defense of Weak Fusion. Vision Research, 35(3), 389-412.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Bayesian Cue Integration
- In depth perception it is the reliability-weighted combination of stereo disparity, motion parallax, texture gradient, and convergence, with stereo dominating near and monocular cues far.
This sourceEstablishes reliability-weighted combination of depth cues (stereo, motion parallax, texture), with weights shifting by cue reliability across distance.
- In depth perception it is the reliability-weighted combination of stereo disparity, motion parallax, texture gradient, and convergence, with stereo dominating near and monocular cues far.
Domain-specific¶
- Depth Perception
- The outputs include egocentric distance from observer to object, relative or ordinal depth among objects, surface slant and curvature, and a more global three-dimensional layout.
This sourceAuthoritative review and model of cue promotion, dynamic weighting, robustness, and experimental perturbation in human depth-cue combination.
- The outputs include egocentric distance from observer to object, relative or ordinal depth among objects, surface slant and curvature, and a more global three-dimensional layout.
Verification¶
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