Cost Volume Construction

Cost Volume Construction is a computational process in stereo vision that belongs to the class of matching cost computation methods, specifically characterized by the systematic aggregation of pixel-wise similarity measures across disparity hypotheses to form a three-dimensional cost volume encoding potential correspondences between rectified image pairs.

23

Publications

5.7K

Citations

74

Authors

22

Institutions

Publications per year

2017–2026

23

Authors

74

  1. PT
    Ping Tan

    Simon Fraser University, Canada

    3 publications · 935 citations

    3

    h-index

  2. SZ
    Siyu Zhu

    Simon Fraser University, Canada

    3 publications · 935 citations

    3

    h-index

  3. GX
    Gangwei Xu

    Huazhong University of Science and Technology, China

    3 publications · 370 citations

    3

    h-index

  4. ZD
    Zuozhuo Dai

    Simon Fraser University, Canada

    3 publications · 935 citations

    3

    h-index

  5. JC
    Junda Cheng

    Huazhong University of Science and Technology, China

    3 publications · 370 citations

    3

    h-index

1–5 of 74

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 247 citations

    4

    h-index

  2. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 2 publications · 339 citations

    2

    h-index

  3. 2

    h-index

  4. 2

    h-index

  5. 1

    h-index

1–5