Surface Reconstruction Optimization
Surface Reconstruction Optimization is a methodological framework within performance optimization for augmented reality that enhances the accuracy and efficiency of three-dimensional surface representations from sensor data by minimizing computational overhead and geometric errors during real-time reconstruction.
82
Publications
3.8K
Citations
426
Authors
157
Institutions
Publications per year
2017–2026
38
82
Lattice contraction in free-standing CdSe nanocrystals
Jiayu Zhang, Xiaoyong Wang, Min Xiao et al. · Applied Physics Letters · 2002 · 153 citations
1–5 of 82
426
Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 84 citations
2
h-index
2
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 84 citations
2
h-index
2
h-index
Institut national de recherche en sciences et technologies du numérique, France
2 publications · 143 citations
2
h-index
1–5 of 426
157

Centre National de la Recherche Scientifique
Paris, France
4 h-index
4 publications
411 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
9 publications
458 citations

Harbin Institute of Technology
Harbin, China
3 h-index
9 publications
773 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
364 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
11 publications
330 citations

University of Science and Technology Beijing
Beijing, China
3 h-index
5 publications
153 citations

Shenzhen University
Shenzhen, China
3 h-index
9 publications
1.2K citations

Xi'an Jiaotong University
Xi'an, China
3 h-index
11 publications
267 citations
1–8 of 157
4 publications · 197 citations
4
h-index
3 publications · 118 citations
3
h-index
2 publications · 97 citations
2
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2 publications · 119 citations
2
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2 publications · 64 citations
2
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