BibTex
@inproceedings{Hu:2013:,
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},
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.