Dynamic Surface Reconstruction
Dynamic Surface Reconstruction is a computational methodology within surface reconstruction that extends static geometric modeling by incorporating temporal coherence and adaptability to reconstruct evolving three-dimensional surfaces from time-varying data sequences.
77
Publications
5K
Citations
359
Authors
148
Institutions
Publications per year
2017–2026
33
77
A dynamically reprogrammable surface with self-evolving shape morphing
Yun Bai, Heling Wang, Yeguang Xue et al. · Nature · 2022 · 150 citations · Full text
Architecture, Computer Science, Manufacturing Engineering +12
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148

University of Toronto
Toronto, Canada
3 h-index
4 publications
266 citations

Harbin Institute of Technology
Harbin, China
3 h-index
12 publications
967 citations

University of Surrey
Guildford, United Kingdom
3 h-index
9 publications
444 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
3 h-index
7 publications
98 citations
Forschungszentrum Jülich
Jülich, Germany
3 h-index
8 publications
355 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
4 publications
653 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
4 publications
496 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
4 publications
134 citations
1–8 of 148
5 publications · 164 citations
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3 publications · 91 citations
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TOG · 3 publications · 191 citations
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2 publications · 97 citations
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2 publications · 736 citations
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