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...

詳細記述

書誌詳細

第一著者:	Herrera-Esposito, Daniel (author)
その他の著者:	Burge, Johannes (author)
フォーマット:	article
言語:	英語
出版事項:	2025
主題:	Bayesian perception Binocular vision Ideal observer Motion in depth Natural scene statistics
オンライン･アクセス:	https://hdl.handle.net/20.500.12008/54084
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