Sparse Registration

Sparse Registration is a sensor registration method characterized by the alignment of spatial or temporal data from heterogeneous sensors under conditions of limited or infrequent correspondence between observed features or events.

41

Publications

1.8K

Citations

144

Authors

72

Institutions

Publications per year

2017–2026

12

Authors

144

  1. GW
    Guorong Wu

    University of North Carolina at Chapel Hill, United States

    3 publications · 129 citations

    3

    h-index

  2. AR
    Aminmohammad Roozgard

    University of Tulsa, United States

    3 publications · 44 citations

    3

    h-index

  3. NB
    Nafise Barzigar

    University of Oklahoma, United States

    3 publications · 44 citations

    3

    h-index

  4. QW
    Qian Wang

    Shanghai Jiao Tong University, China

    3 publications · 129 citations

    3

    h-index

  5. DS
    Dinggang Shen

    University of North Carolina at Chapel Hill, United States

    3 publications · 129 citations

    3

    h-index

1–5 of 144

Venues

  1. Lecture notes in computer science

    LNCS · Book series · 4 publications · 72 citations

    4

    h-index

  2. Computer Graphics Forum

    3 publications · 637 citations

    3

    h-index

  3. IEEE Transactions on Medical Imaging

    3 publications · 94 citations

    3

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Image Processing

    2 publications · 82 citations

    2

    h-index

1–5