Various superpixel approaches have been published recently. These algorithms are
assessed using different evaluation metrics and datasets resulting in discrepancy in …

We present a fast, scalable algorithm to generate high-quality blue noise point distributions
of arbitrary density functions. At its core is a novel formulation of the recently-introduced …

In this paper we describe sample elimination for generating Poisson disk sample sets with a
desired size. We introduce a greedy sample elimination algorithm that assigns a weight to …

In this article we survey techniques for the digital simulation of hand-made stippling—one of
the core techniques developed within non-photorealistic/expressive rendering. Over the …

In this paper we present a method for automatic video segmentation of RGB-D video
streams provided by combined colour and depth sensors like the Microsoft Kinect. To this …

In this paper, we survey recent approaches to blue-noise sampling and discuss their
beneficial applications. We discuss the sampling algorithms that use points as sampling …

In this article we revisit the problem of blue noise sampling with a strong focus on the
spectral properties of the sampling patterns. Starting from the observation that oscillations in …

Blue noise point sampling is one of the core algorithms in computer graphics. In this paper,
we present a new and versatile variational framework for generating point distributions with …

In this article, we study the generation of maximal Poisson-disk sets with varying radii. First,
we present a geometric analysis of gaps in such disk sets. This analysis is the basis for …

Abstract Quasi‐Monte Carlo (QMC) methods exhibit a faster convergence rate than that of
classic Monte Carlo methods. This feature has made QMC prevalent in image synthesis …