Template-based Face Recognition

Template-Based Face Recognition is a face recognition approach that belongs to the class of pattern matching methods, distinguished by its use of predefined templates—derived from facial features or representations—to enable identity verification or identification through similarity comparison against stored reference templates.

181

Publications

15K

Citations

491

Authors

191

Institutions

Publications per year

2017–2026

41

Authors

491

  1. PC
    Pong C. Yuen

    Hong Kong Baptist University, Hong Kong SAR China

    4 publications · 316 citations

    4

    h-index

  2. AK
    Anil K. Jain

    Michigan State University, United States

    3 publications · 369 citations

    3

    h-index

  3. MN
    Michele Nappi

    University of Salerno, Italy

    3 publications · 1K citations

    3

    h-index

  4. RC
    Rama Chellappa

    University of Maryland, College Park, United States

    3 publications · 194 citations

    3

    h-index

  5. GM
    Guangcan Mai

    Hong Kong Baptist University, Hong Kong SAR China

    3 publications · 303 citations

    3

    h-index

1–5 of 491

Venues

  1. Pattern Recognition

    7 publications · 338 citations

    7

    h-index

  2. 6

    h-index

  3. 4

    h-index

  4. 3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 41 citations

    3

    h-index

1–5