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Voronoi diagrams, and their more general weighted counterpart, power diagrams, are fundamental geometric constructs with wide-ranging applications. Recently, they have gained renewed attention in mesh-based neural rendering. Despite being…

计算几何 · 计算机科学 2026-05-08 Bernardo Taveira , Carl Lindström , Maryam Fatemi , Lars Hammarstrand , Fredrik Kahl

This paper introduces a novel, lightweight method to solve the visibility problem for 2D grids. The proposed method evaluates the existence of lines-of-sight from a source point to all other grid cells in a single pass with no preprocessing…

计算几何 · 计算机科学 2024-03-12 Ibrahim Ibrahim , Joris Gillis , Wilm Decré , Jan Swevers

We present a simple wavefront-like approach for computing multiplicatively weighted Voronoi diagrams of points and straight-line segments in the Euclidean plane. If the input sites may be assumed to be randomly weighted points then the use…

计算几何 · 计算机科学 2020-06-26 Martin Held , Stefan de Lorenzo

In this paper, an efficient motion planning approach with grid-based generalized Voronoi diagrams (G$ \mathbf{^2} $VD) is newly proposed for mobile robots. Different from existing approaches, the novelty of this work is twofold: 1) a new…

机器人学 · 计算机科学 2024-05-08 Jian Wen , Xuebo Zhang , Qingchen Bi , Hui Liu , Jing Yuan , Yongchun Fang

Voronoi and related diagrams have technological applications, for example, in motion planning and surface reconstruction, and also find significant use in materials science, molecular biology, and crystallography. Apollonius diagrams…

计算几何 · 计算机科学 2015-12-31 Raymond P. Scaringe

We present a general framework for computing two-dimensional Voronoi diagrams of different classes of sites under various distance functions. The framework is sufficiently general to support diagrams embedded on a family of two-dimensional…

计算几何 · 计算机科学 2015-05-13 Ophir Setter

Voronoi diagrams appear in many areas in science and technology and have numerous applications. They have been the subject of extensive investigation during the last decades. Roughly speaking, they are a certain decomposition of a given…

计算几何 · 计算机科学 2015-03-19 Daniel Reem

We introduce a novel method for acquiring boundary representations (B-Reps) of 3D CAD models which involves a two-step process: it first applies a spatial partitioning, referred to as the ``split``, followed by a ``fit`` operation to derive…

计算机视觉与模式识别 · 计算机科学 2024-06-11 Yilin Liu , Jiale Chen , Shanshan Pan , Daniel Cohen-Or , Hao Zhang , Hui Huang

Voronoi diagrams naturally produce convex, watertight, and topologically consistent cells, making them an appealing representation for 3D shape reconstruction. However, standard differentiable Voronoi approaches typically optimize generator…

计算几何 · 计算机科学 2026-03-24 Jiayin Lu , Ying Jiang , Yumeng He , Yin Yang , Chenfanfu Jiang

VORO++ is a software library written in C++ for computing the Voronoi tessellation, a technique in computational geometry that is widely used for analyzing systems of particles. VORO++ was released in 2009 and is based on computing the…

计算物理 · 物理学 2023-08-09 Jiayin Lu , Emanuel A. Lazar , Chris H. Rycroft

The Voronoi diagram-based dual-front active contour models are known as a powerful and efficient way for addressing the image segmentation and domain partitioning problems. In the basic formulation of the dual-front models, the evolving…

计算机视觉与模式识别 · 计算机科学 2021-06-09 Da Chen , Jack Spencer , Jean-Marie Mirebeau , Ke Chen , Minglei Shu , Laurent D. Cohen

Voronoi diagrams are a fundamental geometric data structure for obtaining proximity relations. We consider collections of axis-aligned orthogonal polyhedra in two and three-dimensional space under the max-norm, which is a particularly…

计算几何 · 计算机科学 2019-08-21 Ioannis Z. Emiris , Christina Katsamaki

An optimal data partitioning in parallel & distributed implementation of clustering algorithms is a necessary computation as it ensures independent task completion, fair distribution, less number of affected points and better & faster…

人工智能 · 计算机科学 2016-09-21 Saraswati Mishra , Avnish Chandra Suman

HII regions powered by ionizing radiation from massive stars drive the dynamical evolution of the interstellar medium. Fast radiative transfer methods for incorporating photoionization effects are thus essential in astrophysical…

天体物理仪器与方法 · 物理学 2025-02-25 Cheryl S. C. Lau , Maya A. Petkova , Ian A. Bonnell

Interactions between clouds and radiation are at the root of many difficulties in numerically predicting future weather and climate and in retrieving the state of the atmosphere from remote sensing observations. The large range of issues…

We investigate the problem of image retrieval based on visual queries when the latter comprise arbitrary regions-of-interest (ROI) rather than entire images. Our proposal is a compact image descriptor that combines the state-of-the-art in…

计算机视觉与模式识别 · 计算机科学 2017-03-22 Aaron Chadha , Yiannis Andreopoulos

Since the Voronoi diagram appears in many applications, the topic of improving its computational efficiency remains attractive. We propose a novel yet efficient method to compute Voronoi diagrams bounded by a given domain, i.e., the clipped…

图形学 · 计算机科学 2026-02-17 Yanyang Xiao , Juan Cao , Zhonggui Chen

We present describe a new computer code that solves the radiative transfer problem on multi-resolution grids. If the cloud model is from an MHD simulation on a regular cartesian grid, criteria based for example on local density or velocity…

天体物理学 · 物理学 2009-11-10 M. Juvela , P. Padoan

Overlaid oriented Voronoi diagrams (OOVDs) are known to provide useful data for the construction of optimal Euclidean $1$-Steiner trees. The theoretical time complexity of construction methods exploiting the OOVD is $O(n^2)$, but a…

计算几何 · 计算机科学 2020-02-18 Michael S. Payne , Charl Ras , Marcus Volz

In this paper, we propose to compute Voronoi diagrams over mesh surfaces driven by an arbitrary geodesic distance solver, assuming that the input is a triangle mesh as well as a collection of sites $P=\{p_i\}_{i=1}^m$ on the surface. We…

计算几何 · 计算机科学 2022-12-20 Shiqing Xin , Pengfei Wang , Rui Xu , Dongming Yan , Shuangmin Chen , Wenping Wang , Caiming Zhang , Changhe Tu