Surface Tracking
Surface Tracking is a computational method in augmented reality representation that enables the persistent identification and spatial alignment of virtual content with real-world surfaces by continuously estimating surface geometry and pose within dynamic environments.
143
Publications
11.9K
Citations
478
Authors
200
Institutions
Publications per year
2017–2026
34
143
KinectFusion: Real-time dense surface mapping and tracking
Richard A. Newcombe, Andrew Fitzgibbon, Shahram Izadi et al. · 2011 · 3.9K citations
Yongning Zhu, Robert Bridson · ACM Transactions on Graphics · 2005 · 637 citations · Full text
Computing, Physics, Visualization +17
Andrew D. Wilson · 2005 · 372 citations
KinectFusion: Real-time dense surface mapping and tracking
Richard A. Newcombe, Andrew J. Davison, Shahram Izadi et al. · 2011 · 301 citations
1–5 of 143
478
4
h-index
4
h-index
Institut national de recherche en sciences et technologies du numérique, France
3 publications · 57 citations
3
h-index
3
h-index
3
h-index
1–5 of 478
200
Microsoft (United States)
Redmond, United States
5 h-index
14 publications
21.7K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
5 h-index
13 publications
837 citations

University of British Columbia
Vancouver, Canada
4 h-index
6 publications
2.3K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
7 publications
199 citations

Kyoto University
Kyoto, Japan
3 h-index
5 publications
853 citations
Stony Brook University
Stony Brook, United States
3 h-index
6 publications
109 citations
Siemens (Germany)
Munich, Germany
3 h-index
3 publications
87 citations

Imperial College London
London, United Kingdom
3 h-index
10 publications
12.9K citations
1–8 of 200
TOG · 3 publications · 718 citations
3
h-index
3 publications · 108 citations
3
h-index
3 publications · 128 citations
3
h-index
TVCG · 2 publications · 89 citations
2
h-index
2 publications · 188 citations
2
h-index
1–5