Distance Transform Matching

Distance Transform Matching is a template matching method that employs the distance transform of a binary image to compute similarity by measuring the minimal distance between corresponding edge pixels, thereby enabling robust pattern localization under partial occlusion or shape variation.

47

Publications

7.2K

Citations

108

Authors

67

Institutions

Publications per year

2017–2026

4

Variants

Distance Transform-based Matching

Authors

108

  1. JT
    Jun‐ichiro Toriwaki

    Nagoya University, Japan

    3 publications · 501 citations

    3

    h-index

  2. DM
    Dariu M. Gavrila

    Daimler (Germany), Germany

    3 publications · 246 citations

    3

    h-index

  3. FG
    Francis Gilbert

    University of Nottingham, United Kingdom

    2 publications · 63 citations

    2

    h-index

  4. CH
    Christopher H. Taylor

    University of Nottingham, United Kingdom

    2 publications · 63 citations

    2

    h-index

  5. DW
    David W. Paglieroni

    University of California, Davis, United States

    2 publications · 201 citations

    2

    h-index

1–5 of 108

Venues

  1. Pattern Recognition

    3 publications · 515 citations

    3

    h-index

  2. Computer Vision Graphics and Image Processing

    3 publications · 2K citations

    3

    h-index

  3. Pattern Recognition Letters

    3 publications · 90 citations

    3

    h-index

  4. 2

    h-index

  5. Multimedia Tools and Applications

    2 publications · 104 citations

    2

    h-index

1–5