Literature DB >> 16805266

3D distance fields: a survey of techniques and applications.

Mark W Jones1, J Andreas Baerentzen, Milos Sramek.   

Abstract

A distance field is a representation where, at each point within the field, we know the distance from that point to the closest point on any object within the domain. In addition to distance, other properties may be derived from the distance field, such as the direction to the surface, and when the distance field is signed, we may also determine if the point is internal or external to objects within the domain. The distance field has been found to be a useful construction within the areas of computer vision, physics, and computer graphics. This paper serves as an exposition of methods for the production of distance fields, and a review of alternative representations and applications of distance fields. In the course of this paper, we present various methods from all three of the above areas, and we answer pertinent questions such as How accurate are these methods compared to each other? How simple are they to implement?, and What is the complexity and runtime of such methods?

Mesh:

Year:  2006        PMID: 16805266     DOI: 10.1109/TVCG.2006.56

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  13 in total

1.  Fast and flexible distance measures for treatment planning.

Authors:  Ivo Rössling; Christian Cyrus; Lars Dornheim; Andreas Boehm; Bernhard Preim
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-08-10       Impact factor: 2.924

2.  Automated segmentation of complex patterns in biological tissues: Lessons from stingray tessellated cartilage.

Authors:  David Knötel; Ronald Seidel; Steffen Prohaska; Mason N Dean; Daniel Baum
Journal:  PLoS One       Date:  2017-12-13       Impact factor: 3.240

3.  Fast extraction of neuron morphologies from large-scale SBFSEM image stacks.

Authors:  Stefan Lang; Panos Drouvelis; Enkelejda Tafaj; Peter Bastian; Bert Sakmann
Journal:  J Comput Neurosci       Date:  2011-03-22       Impact factor: 1.621

4.  Interlacing Infills for Multi-Material Fused Filament Fabrication Using Layered Depth Material Images.

Authors:  Irfan Mustafa; Tsz Ho Kwok
Journal:  Micromachines (Basel)       Date:  2022-05-14       Impact factor: 3.523

5.  Parametric ultrasound and fluoroscopy image fusion for guidance of left ventricle lead placement in cardiac resynchronization therapy.

Authors:  Aleksandar Babic; Hans Henrik Odland; Olivier Gérard; Eigil Samset
Journal:  J Med Imaging (Bellingham)       Date:  2015-05-13

6.  Approximating the Generalized Voronoi Diagram of Closely Spaced Objects.

Authors:  John Edwards; Eric Daniel; Valerio Pascucci; Chandrajit Bajaj
Journal:  Comput Graph Forum       Date:  2015-06-22       Impact factor: 2.078

7.  An automated CT based lung nodule detection scheme using geometric analysis of signed distance field.

Authors:  Jiantao Pu; Bin Zheng; Joseph Ken Leader; Xiao-Hui Wang; David Gur
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

8.  High-Throughput Segmentation of Tiled Biological Structures using Random-Walk Distance Transforms.

Authors:  Daniel Baum; James C Weaver; Igor Zlotnikov; David Knötel; Lara Tomholt; Mason N Dean
Journal:  Integr Comp Biol       Date:  2019-12-01       Impact factor: 3.326

9.  Imalytics Preclinical: Interactive Analysis of Biomedical Volume Data.

Authors:  Felix Gremse; Marius Stärk; Josef Ehling; Jan Robert Menzel; Twan Lammers; Fabian Kiessling
Journal:  Theranostics       Date:  2016-01-01       Impact factor: 11.556

10.  Image analysis pipeline for segmentation of a biological porosity network, the lacuno-canalicular system in stingray tesserae.

Authors:  Merlind Schotte; Júlia Chaumel; Mason N Dean; Daniel Baum
Journal:  MethodsX       Date:  2020-05-01
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