Visual Error Functions is a mathematical construct in visual servoing that quantifies the discrepancy between desired and actual visual features by encoding geometric or photometric differences within a feedback control framework.
26
Publications
1.2K
Citations
87
Authors
37
Institutions
Publications per year
2017–2026
4
Parents
Publications
26
1–5 of 26
Authors
87
- YK
2
h-index
- AB
2
h-index
- CR
2
h-index
- CR
2
h-index
- MG
2
h-index
1–5 of 87
Institutions
37
TU Wien
Vienna, Austria
3 h-index
8 publications
1.3K citations
Sorbonne Université
Paris, France
2 h-index
2 publications
110 citations
University of Washington
Seattle, United States
2 h-index
4 publications
268 citations
Adobe Systems (United States)
San Jose, United States
2 h-index
2 publications
420 citations
Université Paris 8
Paris, France
2 h-index
2 publications
110 citations
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
2 h-index
7 publications
151 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
2 publications
110 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
4 publications
840 citations
1–8 of 37
Venues
- 2009 IEEE Conference on Computer Vision and Pattern Recognition
Conference · 2 publications · 420 citations
2
h-index
- Journal of the American Statistical Association
2 publications · 110 citations
2
h-index
- Experimental Brain Research
2 publications · 54 citations
2
h-index
- Royal Society Open Science
1 publications · 11 citations
1
h-index
- Cognitive Brain Research
1 publications · 107 citations
1
h-index
1–5