Shape Perception Across Viewpoints

Shape Perception Across Viewpoints is a theoretical framework in cognitive science that explains how three-dimensional object shapes are consistently recognized and represented across varying visual perspectives, distinguishing itself from other shape perception models by emphasizing viewpoint invariance as a core computational principle.

75

Publications

5K

Citations

155

Authors

84

Institutions

Publications per year

2017–2026

3

Authors

155

  1. MJ
    Michael J. Tarr

    Brown University, United States

    5 publications · 565 citations

    5

    h-index

  2. JW
    Johan Wagemans

    KU Leuven, Belgium

    5 publications · 133 citations

    5

    h-index

  3. QC
    Quoc C. Vuong

    Newcastle University, United Kingdom

    5 publications · 98 citations

    5

    h-index

  4. HB
    HH Bülthoff

    Max Planck Institute for Biological Cybernetics, Germany

    4 publications · 1.1K citations

    4

    h-index

  5. IB
    Irving Biederman

    University of Southern California, United States

    3 publications · 138 citations

    3

    h-index

1–5 of 155

Venues

  1. Perception

    15 publications · 780 citations

    14

    h-index

  2. Journal of Vision

    7 publications · 510 citations

    8

    h-index

  3. 5

    h-index

  4. Vision Research

    3 publications · 94 citations

    3

    h-index

  5. Psychological Science

    3 publications · 314 citations

    3

    h-index

1–5