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

Authors

1.2K

  1. KS
    Kechen Song

    Northeastern University, China

    5 publications · 283 citations

    5

    h-index

  2. YY
    Yunhui Yan

    Northeastern University, China

    5 publications · 283 citations

    5

    h-index

  3. GY
    Gui Yun Tian

    Newcastle University, United Kingdom

    3 publications · 244 citations

    3

    h-index

  4. DL
    Daniel L. Schmoldt

    Virginia Tech, United States

    3 publications · 124 citations

    3

    h-index

  5. JY
    Jiaqi Ye

    University of Birmingham, United Kingdom

    3 publications · 91 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. Measurement

    10 publications · 512 citations

    10

    h-index

  2. Automation in Construction

    9 publications · 655 citations

    9

    h-index

  3. 8

    h-index

  4. NDT & E International

    8 publications · 469 citations

    8

    h-index

  5. Advanced Engineering Informatics

    9 publications · 356 citations

    7

    h-index

1–5