Depth Cue Representation

Depth Cue Representation is a visual representation method in interior perspective drawing that utilizes specific perceptual indicators to differentiate spatial depth within a two-dimensional image by encoding distance and volume through systematic variations in size, texture, overlap, and linear perspective.

91

Publications

5.4K

Citations

263

Authors

123

Institutions

Publications per year

2017–2026

14

Authors

263

  1. HT
    Haruo Takemura

    The University of Osaka, Japan

    3 publications · 72 citations

    3

    h-index

  2. AY
    Albert Yonas

    University of Minnesota, United States

    3 publications · 60 citations

    3

    h-index

  3. DC
    David C. Knill

    University of Rochester, United States

    2 publications · 129 citations

    2

    h-index

  4. CS
    Christian Sandor

    Nara Institute of Science and Technology, Japan

    2 publications · 64 citations

    2

    h-index

  5. PF
    Petr Fořt

    Universitat Pompeu Fabra, Spain

    2 publications · 69 citations

    2

    h-index

1–5 of 263

Venues

  1. Perception

    6 publications · 328 citations

    6

    h-index

  2. Journal of Vision

    3 publications · 107 citations

    3

    h-index

  3. Optics Express

    3 publications · 437 citations

    3

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 86 citations

    3

    h-index

  5. Journal of Neuroscience

    3 publications · 347 citations

    3

    h-index

1–5