Multi-view Alignment

Multi-View Alignment is a computational framework in the field of computer vision and visualization that establishes geometric correspondence across multiple heterogeneous projective views by jointly optimizing registration parameters to enable seamless integration of images from spatially distributed projectors or cameras.

422

Publications

24.9K

Citations

1.3K

Authors

426

Institutions

Publications per year

2017–2026

129

Authors

1.3K

  1. XL
    Xinwang Liu

    National University of Defense Technology, China

    6 publications · 542 citations

    6

    h-index

  2. EZ
    En Zhu

    National University of Defense Technology, China

    5 publications · 483 citations

    5

    h-index

  3. PT
    Ping Tan

    Simon Fraser University, Canada

    5 publications · 111 citations

    5

    h-index

  4. SW
    Siwei Wang

    National University of Defense Technology, China

    5 publications · 517 citations

    5

    h-index

  5. TK
    Takeo Kanade

    Carnegie Mellon University, United States

    5 publications · 410 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 22 publications · 3.3K citations

    21

    h-index

  2. arXiv (Cornell University)

    Repository · 13 publications · 382 citations

    12

    h-index

  3. International Journal of Computer Vision

    12 publications · 1.2K citations

    11

    h-index

  4. IEEE Transactions on Image Processing

    8 publications · 682 citations

    8

    h-index

  5. Computer Vision and Image Understanding

    CVIU · 8 publications · 397 citations

    8

    h-index

1–5