Whiteboard Recognition

Whiteboard Recognition is a computer vision technique that identifies and interprets handwritten content, drawings, and textual elements captured from physical or digital whiteboards, distinguishing it from general document analysis by focusing on dynamic, real-time educational settings where instructional content is spontaneously created and modified.

23

Publications

925

Citations

32

Authors

11

Institutions

Publications per year

2017–2026

2

Authors

32

  1. ML
    Marcus Liwicki

    German Research Centre for Artificial Intelligence, Germany

    9 publications · 480 citations

    9

    h-index

  2. HB
    Horst Bunke

    University of Bern, Switzerland

    9 publications · 480 citations

    9

    h-index

  3. ZZ
    Zhengyou Zhang

    Microsoft (United States), United States

    4 publications · 155 citations

    4

    h-index

  4. JS
    Joachim Schenk

    Technical University of Munich, Germany

    3 publications · 62 citations

    3

    h-index

  5. GR
    Gerhard Rigoll

    Technical University of Munich, Germany

    3 publications · 62 citations

    3

    h-index

1–5 of 32

Venues

  1. Bern Open Repository and Information System (University of Bern)

    Repository · 3 publications · 274 citations

    3

    h-index

  2. 2

    h-index

  3. Pattern Recognition

    2 publications · 96 citations

    2

    h-index

  4. Computer Vision and Image Understanding

    CVIU · 1 publications · 71 citations

    1

    h-index

  5. 1

    h-index

1–5