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
Parents
23
Marcus Liwicki, Alex Graves, Horst Bunke et al. · Bern Open Repository and Information System (University of Bern) · 2007 · 182 citations · Full text
Whiteboard scanning and image enhancement
Zhengyou Zhang, Li-wei He · Digital Signal Processing · 2006 · 69 citations
1–5 of 23
32
German Research Centre for Artificial Intelligence, Germany
9 publications · 480 citations
9
h-index
9
h-index
4
h-index
3
h-index
3
h-index
1–5 of 32
11
University of Bern
Bern, Switzerland
8 h-index
17 publications
676 citations
Microsoft (United States)
Redmond, United States
4 h-index
9 publications
346 citations
Technical University of Munich
Munich, Germany
3 h-index
10 publications
200 citations
Bielefeld University
Bielefeld, Germany
2 h-index
6 publications
258 citations
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
6 publications
100 citations
IIT@MIT
Cambridge, United States
1 h-index
2 publications
42 citations
École Normale Supérieure - PSL
Paris, France
1 h-index
4 publications
72 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
2 publications
42 citations
1–8 of 11
Repository · 3 publications · 274 citations
3
h-index
2 publications · 54 citations
2
h-index
2 publications · 96 citations
2
h-index
CVIU · 1 publications · 71 citations
1
h-index
ICDAR · Conference · 1 publications · 31 citations
1
h-index
1–5