Object Surface Reconstruction
Object Surface Reconstruction is a computational method in tactile sensing that synthesizes sequential tactile measurements into a coherent three-dimensional representation of an object's external geometry, distinguishing itself by inferring fine surface topography through iterative integration of local haptic feedback during grasping interactions.
201
Publications
9.8K
Citations
567
Authors
247
Institutions
Publications per year
2017–2026
51
Parents
201
FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation
Yaoqing Yang, Chen Feng, Yiru Shen et al. · 2018 · 1.4K citations
Category-specific object reconstruction from a single image
Abhishek Kar, Shubham Tulsiani, João Carreira et al. · 2015 · 269 citations
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Carnegie Mellon University
Pittsburgh, United States
7 h-index
14 publications
1.8K citations
The University of Tokyo
Tokyo, Japan
7 h-index
15 publications
1K citations

University of British Columbia
Vancouver, Canada
7 h-index
16 publications
840 citations

University of Ottawa
Ottawa, Canada
5 h-index
12 publications
364 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
5 h-index
20 publications
509 citations
ETH Zurich
Zurich, Switzerland
4 h-index
8 publications
401 citations

KTH Royal Institute of Technology
Stockholm, Sweden
4 h-index
8 publications
287 citations
Tsinghua University
Beijing, China
4 h-index
9 publications
367 citations
1–8 of 247
11 publications · 358 citations
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TPAMI · 7 publications · 744 citations
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AO · 6 publications · 107 citations
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5 publications · 350 citations
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5 publications · 505 citations
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