Surface Reconstruction Optimization

Surface Reconstruction Optimization is a methodological framework within performance optimization for augmented reality that enhances the accuracy and efficiency of three-dimensional surface representations from sensor data by minimizing computational overhead and geometric errors during real-time reconstruction.

82

Publications

3.8K

Citations

426

Authors

157

Institutions

Publications per year

2017–2026

38

Authors

426

  1. TW
    Tai-Pang Wu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 84 citations

    2

    h-index

  2. JW
    Jun Wang

    Nanjing University of Aeronautics and Astronautics, China

    2 publications · 51 citations

    2

    h-index

  3. CT
    Chi–Keung Tang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 84 citations

    2

    h-index

  4. AB
    Adrien Bartoli

    Centre National de la Recherche Scientifique, France

    2 publications · 324 citations

    2

    h-index

  5. EP
    Emmanuel Prados

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 143 citations

    2

    h-index

1–5 of 426

Venues

  1. Chemical Engineering Journal

    4 publications · 197 citations

    4

    h-index

  2. Journal of Materials Chemistry A

    3 publications · 118 citations

    3

    h-index

  3. International Journal of Computer Vision

    2 publications · 97 citations

    2

    h-index

  4. Applied Catalysis B: Environmental

    2 publications · 119 citations

    2

    h-index

  5. Computer-Aided Design

    2 publications · 64 citations

    2

    h-index

1–5