Template-based Matching

Template-Based Matching is a pattern recognition method that identifies the optimal correspondence between a time series and a reference template by minimizing alignment distortion through dynamic time warping.

1.2K

Publications

57.9K

Citations

3.9K

Authors

1.3K

Institutions

Publications per year

2017–2026

319

Authors

3.9K

  1. VL
    Vincent Lepetit

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 813 citations

    6

    h-index

  2. GW
    Gerhard W. Dueck

    University of New Brunswick, Canada

    6 publications · 844 citations

    6

    h-index

  3. XZ
    Xianmin Zhang

    South China University of Technology, China

    5 publications · 184 citations

    6

    h-index

  4. DZ
    Debin Zhao

    Harbin Institute of Technology, China

    4 publications · 104 citations

    4

    h-index

  5. SP
    Salvatore Parlato

    University of Naples Federico II, Italy

    3 publications · 75 citations

    4

    h-index

1–5 of 3.9K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 19 publications · 4.4K citations

    18

    h-index

  2. Sensors

    19 publications · 716 citations

    16

    h-index

  3. 16

    h-index

  4. Pattern Recognition

    14 publications · 947 citations

    13

    h-index

  5. IEEE Access

    12 publications · 1K citations

    12

    h-index

1–5