Shape Encoding

Shape Encoding is a visual encoding technique that uses geometric form as the distinguishing attribute to represent data variables, differing from other visual channels such as color, size, or position by encoding information through variations in the轮廓 and structure of shapes.

71

Publications

4.9K

Citations

156

Authors

86

Institutions

Publications per year

2017–2026

17

Authors

156

  1. AK
    Aggelos K. Katsaggelos

    Northwestern University, United States

    5 publications · 288 citations

    5

    h-index

  2. JÖ
    Jörn Östermann

    Leibniz University Hannover, Germany

    3 publications · 236 citations

    3

    h-index

  3. ES
    Euee S. Jang

    Hanyang University, South Korea

    3 publications · 83 citations

    3

    h-index

  4. LP
    Lisimachos P. Kondi

    University at Buffalo, State University of New York, United States

    3 publications · 225 citations

    3

    h-index

  5. FB
    Frank Bossen

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 132 citations

    3

    h-index

1–5 of 156

Venues

  1. 9

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 217 citations

    3

    h-index

  3. Nature Neuroscience

    3 publications · 1.7K citations

    3

    h-index

  4. Signal Processing Image Communication

    3 publications · 53 citations

    3

    h-index

  5. Vision Research

    2 publications · 69 citations

    2

    h-index

1–5