Proceedings: GI 2013

Efficient reconstruction, decomposition and editing for spatially-varying reflectance data

Yong Hu , Shan Wang , Yue Qi

Proceedings of Graphics Interface 2013: Regina, Saskatchewan, Canada, 29 - 31 May 2013, 55-62

DOI 10.20380/GI2013.08

  • Bibtex

    @inproceedings{Hu:2013:10.20380/GI2013.08,
    author = {Hu, Yong and Wang, Shan and Qi, Yue},
    title = {Efficient reconstruction, decomposition and editing for spatially-varying reflectance data},
    booktitle = {Proceedings of Graphics Interface 2013},
    series = {GI 2013},
    year = {2013},
    issn = {0713-5424},
    isbn = {978-1-4822-1680-6},
    location = {Regina, Saskatchewan, Canada},
    pages = {55--62},
    numpages = {8},
    doi = {10.20380/GI2013.08},
    publisher = {Canadian Human-Computer Communications Society},
    address = {Toronto, Ontario, Canada},
    }

Abstract

We present a new method for modeling real-world surface reflectance, described with non-parametric spatially-varying bidirectional reflectance distribution functions (SVBRDF). Our method seeks to achieve high reconstruction accuracy, compactness and "editability" of representation meanwhile speeding up the SVBRDF modeling processes. For a planar surface, we 1) design a capturing device to acquire reflectance samples at dense surface locations; 2) propose a Laplacian-based angular interpolation scheme for a 2D slice of BRDF at a given surface location, and then a Kernel Nyström method for SVBRDF data matrix reconstruction; 3) propose a practical algorithm to extract linear-independent basis BRDFs, and to calculate blending weights through projecting reconstructed reflectance onto these bases. Results demonstrate that our approach models real-world reflectance with both high accuracy and high visual fidelity for real-time virtual environment rendering.