Disparity-driven Depth Perception

Disparity-Driven Depth Perception is a computational framework in visual neuroscience and computer vision that utilizes binocular disparity as the primary cue to infer three-dimensional scene structure, distinguishing itself from other depth perception mechanisms by explicitly relying on the geometric differences between left and right eye views to compute depth.

379

Publications

21.8K

Citations

741

Authors

290

Institutions

Publications per year

2017–2026

41

Authors

741

  1. AP
    Andrew Parker

    University of Oxford, United Kingdom

    15 publications · 1.7K citations

    15

    h-index

  2. BG
    Bruce G. Cumming

    National Eye Institute, United States

    12 publications · 1.2K citations

    12

    h-index

  3. JC
    Jenny C. A. Read

    Newcastle University, United Kingdom

    11 publications · 464 citations

    11

    h-index

  4. AE
    Andrew E. Welchman

    University of Birmingham, United Kingdom

    11 publications · 593 citations

    11

    h-index

  5. LM
    Laurie M. Wilcox

    York University, Canada

    12 publications · 283 citations

    11

    h-index

1–5 of 741

Venues

  1. Journal of Neuroscience

    35 publications · 3.5K citations

    29

    h-index

  2. Journal of Vision

    46 publications · 1.9K citations

    24

    h-index

  3. Perception

    37 publications · 1.2K citations

    22

    h-index

  4. Vision Research

    37 publications · 1.7K citations

    21

    h-index

  5. Journal of Neurophysiology

    JN · 18 publications · 2.4K citations

    16

    h-index

1–5