Point Set Shape Analysis

Point Set Shape Analysis is a computational framework within shape analysis that characterizes the geometry and topology of shapes represented as unstructured point sets, distinguishing itself by operating directly on discrete sampling points without requiring connectivity or mesh structure.

18

Publications

460

Citations

47

Authors

31

Institutions

Publications per year

2017–2026

2

Authors

47

  1. MM
    Mahmoud Melkemi

    Université de Haute-Alsace, France

    2 publications · 44 citations

    2

    h-index

  2. DJ
    Daniel J. Buehrer

    National Chung Cheng University, Taiwan

    1 publications · 102 citations

    1

    h-index

  3. JD
    J.J.B. de Swart

    Centrum Wiskunde & Informatica, Netherlands

    1 publications · 25 citations

    1

    h-index

  4. SS
    Soham Sarkar

    Indian Statistical Institute, India

    1 publications · 10 citations

    1

    h-index

  5. JD
    János D. Pintér

    Dalhousie University, Canada

    1 publications · 25 citations

    1

    h-index

1–5 of 47

Venues

  1. Pattern Recognition

    2 publications · 118 citations

    2

    h-index

  2. Journal of Mathematical Chemistry

    1 publications · 11 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 42 citations

    1

    h-index

  4. Pattern Recognition Letters

    1 publications · 10 citations

    1

    h-index

  5. Journal of Mathematical Imaging and Vision

    1 publications · 13 citations

    1

    h-index

1–5