Textureless Region Matching

Textureless Region Matching is a stereo vision method that addresses the challenge of establishing correspondences between image regions lacking distinctive textural features by relying on geometric, photometric, or structural cues to infer disparity in the absence of local intensity variation.

24

Publications

1.9K

Citations

91

Authors

39

Institutions

Publications per year

2017–2026

14

Authors

91

  1. GX
    Gangwei Xu

    Huazhong University of Science and Technology, China

    2 publications · 282 citations

    2

    h-index

  2. JC
    Junda Cheng

    Huazhong University of Science and Technology, China

    2 publications · 282 citations

    2

    h-index

  3. JZ
    Juyong Zhang

    University of Science and Technology of China, China

    2 publications · 600 citations

    2

    h-index

  4. HX
    Haofei Xu

    Sun Yat-sen University, China

    2 publications · 600 citations

    2

    h-index

  5. DC
    Dapeng Chen

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 24 citations

    1

    h-index

1–5 of 91

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 40 citations

    2

    h-index

  2. 2

    h-index

  3. Remote Sensing

    2 publications · 58 citations

    2

    h-index

  4. 1

    h-index

  5. IEEE Transactions on Image Processing

    1 publications · 24 citations

    1

    h-index

1–5