Optimal estimation of local motion-in-depth with naturalistic stimuli

Estimating the motion of objects in depth is important for behavior and is strongly supported by binocular visual cues. To understand both how the brain should estimate motion in depth and how natural constraints shape and limit performance in two local 3D motion tasks, we develop image-computable i...

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Bibliographic Details

Main Author:	Herrera-Esposito, Daniel (author)
Other Authors:	Burge, Johannes (author)
Format:	article
Language:	English
Published:	2025
Subjects:	Bayesian perception Binocular vision Ideal observer Motion in depth Natural scene statistics
Online Access:	https://hdl.handle.net/20.500.12008/54084
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