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Density-equalizing maps are a class of mapping methods in which the shape deformation is driven by prescribed density information. In recent years, they have been widely used for data visualization on planar domains and planar…

Graphics · Computer Science 2025-01-03 Zhiyuan Lyu , Lok Ming Lui , Gary P. T. Choi

Surface parameterization is a fundamental task in geometry processing and plays an important role in many science and engineering applications. In recent years, the density-equalizing map, a shape deformation technique based on the physical…

Graphics · Computer Science 2026-04-20 Zhiyuan Lyu , Lok Ming Lui , Gary P. T. Choi

The density-equalizing map, a technique developed for cartogram creation, has been widely applied to data visualization but only for 2D applications. In this work, we propose a novel method called the volumetric density-equalizing reference…

Numerical Analysis · Mathematics 2021-04-06 Gary P. T. Choi , Chris H. Rycroft

Cartograms depict geographic regions with areas proportional to quantitative data. However, when created using density-equalizing map projections, cartograms may exhibit invalid topologies if boundary polygons are drawn using only a finite…

Computational Geometry · Computer Science 2026-01-21 Nihal Z. Miaji , Adi Singhania , Matthias E. Goh , Callista Le , Atima Tharatipyakul , Michael T. Gastner

Density-equalizing map (DEM) serves as a powerful technique for creating shape deformations with the area changes reflecting an underlying density function. In recent decades, DEM has found widespread applications in fields such as data…

Graphics · Computer Science 2025-11-18 Yanwen Huang , Lok Ming Lui , Gary P. T. Choi

Density map is an effective visualization technique for depicting the scalar field distribution in 2D space. Conventional methods for constructing density maps are mainly based on Euclidean distance, limiting their applicability in urban…

Human-Computer Interaction · Computer Science 2021-03-08 Zezheng Feng , Haotian Li , Wei Zeng , Shuang-Hua Yang , Huamin Qu

We present a constructive approach for approximating the conformal map (uniformization) of a polyhedral surface to a canonical domain in the plane. The main tool is a characterization of convex spaces of quasiconformal simplicial maps and…

Computational Geometry · Computer Science 2013-01-29 Yaron Lipman

In this paper, we are concerned with the problem of creating flattening maps of simply-connected open surfaces in $\mathbb{R}^3$. Using a natural principle of density diffusion in physics, we propose an effective algorithm for computing…

Computational Geometry · Computer Science 2020-02-10 Gary P. T. Choi , Chris H. Rycroft

Tube-like surfaces are widely encountered in geometry processing, engineering structures, and medical anatomy, yet their intrinsic longitudinal and circumferential topology is not well preserved by conventional planar annular or rectangular…

Graphics · Computer Science 2026-05-19 Shunyu Yao , Gary P. T. Choi

Surface parameterization plays a fundamental role in many science and engineering problems. In particular, as genus-0 closed surfaces are topologically equivalent to a sphere, many spherical parameterization methods have been developed over…

Computational Geometry · Computer Science 2024-03-27 Gary P. T. Choi

This paper proposes a novel method for computing bijective density-equalizing quasiconformal (DEQ) flattening maps for multiply-connected open surfaces. In conventional density-equalizing maps, shape deformations are solely driven by…

Computational Geometry · Computer Science 2024-04-01 Zhiyuan Lyu , Gary P. T. Choi , Lok Ming Lui

We consider the problem of computing toroidal area-preserving parameterizations of genus-one closed surfaces. We propose four algorithms based on Riemannian geometry: the projected gradient descent method, the projected conjugate gradient…

Numerical Analysis · Mathematics 2025-08-08 Marco Sutti , Mei-Heng Yueh

Surface parameterization is widely used in computer graphics and geometry processing. It simplifies challenging tasks such as surface registrations, morphing, remeshing and texture mapping. In this paper, we present an efficient algorithm…

Computational Geometry · Computer Science 2020-02-10 Gary Pui-Tung Choi , Lok Ming Lui

Cartograms are a technique for visually representing geographically distributed statistical data, where values of a numerical attribute are mapped to the size of geographic regions. Contiguous cartograms preserve the adjacencies of the…

Computational Geometry · Computer Science 2026-04-16 Vladimir Molchanov , Hennes Rave , Lars Linsen

Map makers have long searched for a way to construct cartograms -- maps in which the sizes of geographic regions such as countries or provinces appear in proportion to their population or some other analogous property. Such maps are…

Data Analysis, Statistics and Probability · Physics 2009-11-10 Michael T. Gastner , M. E. J. Newman

A density-based topology optimization framework is developed to manipulate characteristic modes of conducting surfaces. The adjoint sensitivity analysis provides an efficient computation of the material gradient utilized by the local…

Optimization and Control · Mathematics 2025-02-07 Jonas Tucek , Miloslav Capek , Lukas Jelinek

Morphing is the process of changing one figure into another. Some numerical methods of 3D surface morphing by deformable modeling and conformal mapping are shown in this study. It is well known that there exists a unique Riemann conformal…

Graphics · Computer Science 2015-04-02 Mei-Heng Yueh , Xianfeng David Gu , Wen-Wei Lin , Chin-Tien Wu , Shing-Tung Yau

Surface parameterization is a fundamental concept in fields such as differential geometry and computer graphics. It involves mapping a surface in three-dimensional space onto a two-dimensional parameter space. This process allows for the…

Numerical Analysis · Mathematics 2024-12-16 Shu-Yung Liu , Mei-Heng Yueh

Conformal surface parameterization is useful in graphics, imaging and visualization, with applications to texture mapping, atlas construction, registration, remeshing and so on. With the increasing capability in scanning and storing data,…

Computational Geometry · Computer Science 2020-07-06 Gary P. T. Choi , Yusan Leung-Liu , Xianfeng Gu , Lok Ming Lui

Graph coarsening is a widely used dimensionality reduction technique for approaching large-scale graph machine learning problems. Given a large graph, graph coarsening aims to learn a smaller-tractable graph while preserving the properties…

Machine Learning · Statistics 2022-10-04 Manoj Kumar , Anurag Sharma , Sandeep Kumar
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