Gradient-based Template Matching

Gradient-Based Template Matching is a template matching method that distinguishes itself by utilizing image gradient information to measure similarity between a template and target regions, enhancing robustness to illumination changes and enabling more accurate alignment through gradient orientation and magnitude comparisons.

16

Publications

1.1K

Citations

47

Authors

24

Institutions

Publications per year

2017–2026

2

Authors

47

  1. BC
    Boyu Chen

    The University of Sydney, Australia

    2 publications · 377 citations

    2

    h-index

  2. HL
    Huchuan Lu

    Dalian University of Technology, China

    2 publications · 377 citations

    2

    h-index

  3. XY
    Xiaoyun Yang

    Huazhong University of Science and Technology, China

    2 publications · 377 citations

    2

    h-index

  4. DW
    Dong Wang

    Dalian University of Technology, China

    2 publications · 377 citations

    2

    h-index

  5. PL
    Peixia Li

    The University of Sydney, Australia

    2 publications · 377 citations

    2

    h-index

1–5 of 47

Venues

  1. IEEE Transactions on Image Processing

    2 publications · 259 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 49 citations

    1

    h-index

  3. Optik

    1 publications · 46 citations

    1

    h-index

  4. 1

    h-index

  5. Sensors

    1 publications · 23 citations

    1

    h-index

1–5