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3D distance fields: a survey of techniques and applications / Mark, Jones

IEEE Transactions on Visualization and Computer Graphics, Volume: 12, Issue: 4, Pages: 581 - 599

Swansea University Author: Mark, Jones

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DOI (Published version): 10.1109/TVCG.2006.56

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...

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Published in: IEEE Transactions on Visualization and Computer Graphics
ISSN: 1077-2626
Published: 2006
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URI: https://cronfa.swan.ac.uk/Record/cronfa1679
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first_indexed 2013-07-23T11:48:04Z
last_indexed 2018-02-09T04:29:09Z
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spelling 2013-12-05T10:12:05.3773445 v2 1679 2011-10-01 3D distance fields: a survey of techniques and applications 2e1030b6e14fc9debd5d5ae7cc335562 0000-0001-8991-1190 Mark Jones Mark Jones true false 2011-10-01 SCS 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? Journal Article IEEE Transactions on Visualization and Computer Graphics 12 4 581 599 1077-2626 1 1 2006 2006-01-01 10.1109/TVCG.2006.56 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2013-12-05T10:12:05.3773445 2011-10-01T00:00:00.0000000 College of Science Computer Science M.W Jones 1 J.A Baerentzen 2 M Sramek 3 Mark Jones 0000-0001-8991-1190 4
title 3D distance fields: a survey of techniques and applications
spellingShingle 3D distance fields: a survey of techniques and applications
Mark, Jones
title_short 3D distance fields: a survey of techniques and applications
title_full 3D distance fields: a survey of techniques and applications
title_fullStr 3D distance fields: a survey of techniques and applications
title_full_unstemmed 3D distance fields: a survey of techniques and applications
title_sort 3D distance fields: a survey of techniques and applications
author_id_str_mv 2e1030b6e14fc9debd5d5ae7cc335562
author_id_fullname_str_mv 2e1030b6e14fc9debd5d5ae7cc335562_***_Mark, Jones
author Mark, Jones
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container_title IEEE Transactions on Visualization and Computer Graphics
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institution Swansea University
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college_str College of Science
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department_str Computer Science{{{_:::_}}}College of Science{{{_:::_}}}Computer Science
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description 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?
published_date 2006-01-01T03:14:34Z
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