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Journal ArticleDOI

Computing hierarchical curve-skeletons of 3D objects

TLDR
A general and robust methodology that computes a family of increasingly detailed curve-skeletons, based upon computing a repulsive force field over a discretization of the 3D object and using topological characteristics of the resulting vector field, such as critical points and critical curves, to extract the curve-Skeleton.
Abstract
A curve-skeleton of a 3D object is a stick-like figure or centerline representation of that object. It is used for diverse applications, including virtual colonoscopy and animation. In this paper, we introduce the concept of hierarchical curve-skeletons and describe a general and robust methodology that computes a family of increasingly detailed curve-skeletons. The algorithm is based upon computing a repulsive force field over a discretization of the 3D object and using topological characteristics of the resulting vector field, such as critical points and critical curves, to extract the curve-skeleton. We demonstrate this method on many different types of 3D objects (volumetric, polygonal and scattered point sets) and discuss various extensions of this approach.

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Citations
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Journal ArticleDOI

Skeleton extraction by mesh contraction

TL;DR: A simple and robust skeleton extraction method based on mesh contraction that generates valuable information about the object's geometry, in particular, the skeleton-vertex correspondence and the local thickness, which are useful for various applications.
Journal ArticleDOI

Curve-Skeleton Properties, Applications, and Algorithms

TL;DR: This paper provides an overview of many curve-skeleton applications and compile a set of desired properties of such representations and gives a taxonomy of methods and analyzes the advantages and drawbacks of each class of algorithms.
Journal ArticleDOI

Patient-Specific Vascular NURBS Modeling for Isogeometric Analysis of Blood Flow

TL;DR: In this article, an approach to construct hexahedral solid NURBS (non-uniform rational B-splines) meshes for patient-specific vascular geometric models from imaging data for use in isogeometric analysis is described.
Journal ArticleDOI

A survey on skeletonization algorithms and their applications

TL;DR: A comprehensive survey of skeletonization algorithms and their applications and their principles, challenges, and benefits are presented.
Proceedings ArticleDOI

Point Cloud Skeletons via Laplacian Based Contraction

TL;DR: By avoiding explicit reconstruction, this work is able to perform skeleton-driven topology repair of acquired point clouds in the presence of large amounts of missing data and show that the curve skeletons the authors extract provide an intuitive and easy-to-manipulate structure for effective topology modification, leading to more faithful surface reconstruction.
References
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Book

Adaptive mesh refinement for hyperbolic partial differential equations

TL;DR: This work presents an adaptive method based on the idea of multiple, component grids for the solution of hyperbolic partial differential equations using finite difference techniques based upon Richardson-type estimates of the truncation error, which is a mesh refinement algorithm in time and space.
Journal ArticleDOI

Digital topology: introduction and survey

TL;DR: The fundamental concepts of digital topology are reviewed and the major theoretical results in the field are surveyed, with a bibliography of almost 140 references.
Proceedings ArticleDOI

The power crust

TL;DR: A careful design of a key subroutine which labels parts of the MAT as inside or outside of the object, easy in theory but non-trivial in practice is described, which leads to a simple algorithm with theoretical guarantees comparable to those of other surface reconstruction and medial axis approximation algorithms.
Proceedings ArticleDOI

Projective image restoration using sparsity regularization

TL;DR: This paper presents a method of image restoration for projective ground images which lie on a projection orthogonal to the camera axis and proposes instant estimation of a blur kernel arising from the projective transform and the subsequent interpolation of sparse data.
Journal ArticleDOI

A Description of Eddying Motions and Flow Patterns Using Critical-Point Concepts

TL;DR: On montre l'utilite des concepts de point critique dans la comprehension des regimes d'ecoulement as mentioned in this paper, le methode analytique et exemples d'application.
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