Traditional Computer Vision
Traditional Computer Vision is a methodological framework within computer vision that relies on handcrafted feature extraction and classical image processing techniques, as opposed to data-driven learning approaches such as deep neural networks.
144
Publications
9.4K
Citations
573
Authors
233
Institutions
Publications per year
2017–2026
117
Variants
Classical Computer Vision
144
Virtual object manipulation on a table-top AR environment
Hirokazu Kato, Mark Billinghurst, Ivan Poupyrev et al. · 2002 · 579 citations
PubLayNet: Largest Dataset Ever for Document Layout Analysis
Xu Zhong, Jianbin Tang, Antonio Jimeno Yepes · 2019 · 470 citations
Short-range FMCW monopulse radar for hand-gesture sensing
Pavlo Molchanov, Shalini Gupta, Kihwan Kim et al. · 2015 · 214 citations
Engineering, Automotive Engineering, Robotics Engineering +16
1–5 of 144
573
German Research Centre for Artificial Intelligence, Germany
2 publications · 35 citations
2
h-index
2
h-index
2
h-index
2
h-index
German Research Centre for Artificial Intelligence, Germany
2 publications · 35 citations
2
h-index
1–5 of 573
233
Microsoft (United States)
Redmond, United States
4 h-index
5 publications
354 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
7 publications
513 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
8 publications
477 citations

Peking University
Beijing, China
3 h-index
9 publications
439 citations
National University of Singapore
Singapore, Singapore
3 h-index
7 publications
3.5K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
17 publications
513 citations

Zhejiang University
Hangzhou, China
3 h-index
4 publications
118 citations
University of Zurich
Zurich, Switzerland
2 h-index
4 publications
214 citations
1–8 of 233
9 publications · 219 citations
9
h-index
Repository · 8 publications · 438 citations
8
h-index
5 publications · 288 citations
5
h-index
3 publications · 174 citations
3
h-index
2 publications · 95 citations
2
h-index
1–5