Direct Simple Computation of Middle Surface Between 3D Point Clouds and/or Discrete Surfaces by Tracking Sources in Distance Function Calculation Algorithms

Author:

Kósa Balázs1,Mikula Karol1

Affiliation:

1. 1 Department of Mathematics and Descriptive Geometry, Faculty of Civil Engineering , Slovak University of Technology in Bratislava , Slovakia

Abstract

Abstract In this paper, we introduce novel methods for computing middle surfaces between various 3D data sets such as point clouds and/or discrete surfaces. Traditionally the middle surface is obtained by detecting singularities in computed distance function such as ridges, triple junctions, etc. It requires to compute second order differential characteristics, and also some kinds of heuristics must be applied. Opposite to that, we determine the middle surface just from computing the distance function itself which is a fast and simple approach. We present and compare the results of the fast sweeping method, the vector distance transform algorithm, the fast marching method, and the Dijkstra-Pythagoras method in finding the middle surface between 3D data sets.

Publisher

Walter de Gruyter GmbH

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference14 articles.

1. CHEN, X.—GOLOVINSKIY, A.—FUNKHOUSER, T.: A benchmark for 3D mesh segmentation, ACM Transactions on Graphics 28 (2009). pp. 1–12. https://doi.org/10.1145/1531326.1531379

2. CORMEN, T. H.—LEISERSON, C. E.—RIVEST, R. L.—STEIN, C.: Introduction to Algorithms Third Edition. MIT Press, Cambridge, MA, 2009.

3. DANIELSSON, P.-E.: Euclidean distance mapping, Computer Graphics and Image Processing 14 (1980), 227–248.

4. EBERLY, D.: Distance between point and triangle in 3D, Geometric Tools, Redmond WA 98052, (1999). https://www.geometrictools.com/Documentation/DistancePoint3Triangle3.pdf

5. JONES, M. W.—BAERENTZEN, J. A.—SRAMEK, M.: 3D distance fields: a survey of techniques and applications, IEEE Transactions on Visualization and Computer Graphics 12 (2006), no. 4, 581–599.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3