3D Defect Detection
3D Defect Detection is a computational method in the field of quality inspection that identifies and localizes anomalies in three-dimensional data by analyzing spatial geometry and surface variations, distinguishing it from 2D approaches through its explicit use of volumetric and depth information.
323
Publications
15.1K
Citations
1.2K
Authors
412
Institutions
Publications per year
2017–2026
214
Parents
323
1–5 of 323
1.2K
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412

Zhejiang University
Hangzhou, China
8 h-index
25 publications
716 citations

Huazhong University of Science and Technology
Wuhan, China
8 h-index
27 publications
865 citations

Northeastern University
Shenyang, China
8 h-index
36 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
21 publications
850 citations
University of Chinese Academy of Sciences
Beijing, China
7 h-index
18 publications
582 citations
Virginia Tech
Blacksburg, United States
6 h-index
14 publications
822 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
15 publications
1.3K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
27 publications
1.1K citations
1–8 of 412
10 publications · 512 citations
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9 publications · 655 citations
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9 publications · 179 citations
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8 publications · 469 citations
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9 publications · 356 citations
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