Depth From Shape

Depth From Shape is a perceptual inference mechanism in form perception whereby three-dimensional depth is derived from two-dimensional shape information based on geometric regularities and symmetry constraints inherent in the stimulus configuration.

24

Publications

1.5K

Citations

53

Authors

25

Institutions

Publications per year

2017–2026

3

Authors

53

  1. EM
    E. M. Abdelrahman

    Cairo University, Egypt

    3 publications · 115 citations

    3

    h-index

  2. JT
    James T. Todd

    The Ohio State University, United States

    2 publications · 210 citations

    2

    h-index

  3. KS
    Khalid S. Essa

    Cairo University, Egypt

    2 publications · 84 citations

    2

    h-index

  4. GJ
    George J. Anderson

    2 publications · 119 citations

    2

    h-index

  5. ML
    Myron L. Braunstein

    University of California, Irvine, United States

    2 publications · 119 citations

    2

    h-index

1–5 of 53

Venues

  1. 4

    h-index

  2. 2

    h-index

  3. Perception

    2 publications · 90 citations

    2

    h-index

  4. Journal of Vision

    2 publications · 70 citations

    2

    h-index

  5. Geophysics

    1 publications · 47 citations

    1

    h-index

1–5