We introduce a novel tile-based method for adaptive two-dimensional sampling with user-specified spectral properties. Our approach achieves several orders of magnitude speed improvement over current spectrum-controlled sampling methods through a deterministic, hierarchical construction of self-similar, equi-area tiles whose spatial distribution is free of spurious spectral peaks. A lookup table of sample points, computed offline using any existing procedure that optimizes point sets to shape their Fourier spectrum, is then used to populate the tiles. The result is a linear-time, adaptive, and high-quality sampling of arbitrary density functions that conforms to the desired spectral distribution.
@article{dcoeurjo_SIGGRAPH14,
author = {Florent Wachtel and Adrien Pilleboue and David Coeurjolly and Katherine Breeden and Gurprit Singh and Gaël Cathelin and Fernando de Goes and Mathieu Desbrun and Victor Ostromoukhov},
doi = {10.1145/2601097.2601107},
issn = {0730-0301},
journal = {ACM Transactions on Graphics (Proceedings of SIGGRAPH)},
language = {en},
month = {August},
number = {4},
pages = {56:1-56:11},
title = {Fast Tile-Based Adaptive Sampling with User-Specified Fourier Spectra},
url = {http://liris.cnrs.fr/publis/?id=6546},
volume = {33},
year = {2014}
}