Keyframe Selection is a visual odometry mechanism that identifies and retains a subset of frames as keyframes based on specific criteria such as motion magnitude, visual novelty, or scene complexity, distinguishing it from general frame processing by enabling efficient and accurate pose estimation through strategic frame reduction.
153
Publications
8.6K
Citations
476
Authors
194
Institutions
Publications per year
2017–2026
58
Parents
Publications
153
Dense visual SLAM for RGB-D cameras
Christian Kerl, Jürgen Sturm, Daniel Cremers · 2013 · 912 citations
Adaptive key frame extraction using unsupervised clustering
Yueting Zhuang, Yong Rui, Thomas S. Huang et al. · 2002 · 510 citations
Key frame selection by motion analysis
2002 · 411 citations
1–5 of 153
Authors
476
- AG
4
h-index
- MS
3
h-index
- PY
3
h-index
- ZW
3
h-index
- QX
3
h-index
1–5 of 476
Institutions
194
Tianjin University
Tianjin, China
5 h-index
8 publications
132 citations
FX Palo Alto Laboratory
Palo Alto, United States
5 h-index
11 publications
739 citations
ETH Zurich
Zurich, Switzerland
4 h-index
11 publications
492 citations
Tsinghua University
Beijing, China
4 h-index
12 publications
416 citations
The University of Sydney
Sydney, Australia
4 h-index
12 publications
772 citations
Beihang University
Beijing, China
4 h-index
9 publications
268 citations
Chongqing University of Posts and Telecommunications
Chongqing, China
3 h-index
7 publications
196 citations
Universitat de Girona
Girona, Spain
3 h-index
7 publications
161 citations
1–8 of 194
Venues
- Multimedia Tools and Applications
7 publications · 243 citations
7
h-index
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
5 publications · 67 citations
5
h-index
- Machine Vision and Applications
4 publications · 100 citations
4
h-index
- IEEE Robotics and Automation Letters
4 publications · 392 citations
4
h-index
- IEEE Transactions on Circuits and Systems for Video Technology
4 publications · 473 citations
4
h-index
1–5