Shape Normalization

Shape Normalization is a computational framework within shape perception that standardizes geometric representations by removing variations due to translation, scale, and rotation, thereby enabling invariant object recognition across different viewing conditions.

163

Publications

10.5K

Citations

436

Authors

212

Institutions

Publications per year

2017–2026

27

Authors

436

  1. CL
    Cheng‐Lin Liu

    Chinese Academy of Sciences, China

    4 publications · 315 citations

    4

    h-index

  2. PT
    Peter T. Fox

    The University of Texas at San Antonio Health Science Center, United States

    3 publications · 374 citations

    3

    h-index

  3. JL
    Jack L. Lancaster

    The University of Texas at San Antonio Health Science Center, United States

    3 publications · 374 citations

    3

    h-index

  4. NN
    Nur Nadiah Syakira Abdul Rahman

    International Islamic University Malaysia, Malaysia

    2 publications · 34 citations

    2

    h-index

  5. AM
    Aleix M. Martı́nez

    The Ohio State University, United States

    2 publications · 96 citations

    2

    h-index

1–5 of 436

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 12 publications · 2.3K citations

    11

    h-index

  2. Pattern Recognition

    7 publications · 436 citations

    7

    h-index

  3. Chemical Engineering Science

    4 publications · 202 citations

    4

    h-index

  4. 3

    h-index

  5. 3

    h-index

1–5