Multiscale Texture Representation

Multiscale Texture Representation is a computational framework in surface texture visualization that characterizes texture attributes across multiple spatial scales, enabling the simultaneous analysis of fine-grained and coarse-grained surface patterns through hierarchical decomposition of texture information.

148

Publications

8.9K

Citations

450

Authors

235

Institutions

Publications per year

2017–2026

31

Authors

450

  1. RR
    Ravi Ramamoorthi

    University of California, Berkeley, United States

    4 publications · 186 citations

    4

    h-index

  2. HC
    Hyeokho Choi

    Rice University, United States

    4 publications · 115 citations

    4

    h-index

  3. RG
    Richard G. Baraniuk

    Rice University, United States

    4 publications · 115 citations

    4

    h-index

  4. MS
    Marc Simard

    Jet Propulsion Laboratory, United States

    3 publications · 312 citations

    3

    h-index

  5. ER
    Eric Risser

    Columbia University, United States

    3 publications · 156 citations

    3

    h-index

1–5 of 450

Venues

  1. ACM Transactions on Graphics

    TOG · 6 publications · 462 citations

    6

    h-index

  2. Pattern Recognition Letters

    6 publications · 195 citations

    6

    h-index

  3. IEEE Transactions on Image Processing

    6 publications · 1.4K citations

    6

    h-index

  4. 5

    h-index

  5. Pattern Recognition

    4 publications · 772 citations

    4

    h-index

1–5