3D Face Recognition

3D Face Recognition is a face recognition methodology that identifies individuals based on the three-dimensional geometric structure of the face, distinguishing it from 2D approaches by incorporating depth information to enhance accuracy and robustness against variations in lighting and pose.

1.4K

Publications

109.4K

Citations

2.9K

Authors

909

Institutions

Publications per year

2017–2026

336

Authors

2.9K

  1. IA
    Ioannis A. Kakadiaris

    University of Houston, United States

    29 publications · 1.8K citations

    24

    h-index

  2. LC
    Liming Chen

    École Centrale de Lyon, France

    34 publications · 1.5K citations

    22

    h-index

  3. SB
    Stefano Berretti

    University of Florence, Italy

    27 publications · 1.5K citations

    21

    h-index

  4. AK
    Anil K. Jain

    Michigan State University, United States

    20 publications · 2.5K citations

    20

    h-index

  5. KW
    Kevin W. Bowyer

    University of Notre Dame, United States

    21 publications · 5.8K citations

    19

    h-index

1–5 of 2.9K

Venues

  1. 36

    h-index

  2. Pattern Recognition

    47 publications · 3.1K citations

    32

    h-index

  3. 28

    h-index

  4. Image and Vision Computing

    38 publications · 2.1K citations

    26

    h-index

  5. Pattern Recognition Letters

    24 publications · 2.2K citations

    20

    h-index

1–5