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Distance Measurements of CAD Models in Boundary Representation

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Transactions on Computational Science XXXVI

Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 12060))

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Abstract

The need to analyze and visualize distances between objects arises in many use cases. Although the problem to calculate the distance between two polygonal objects may sound simple, real-world scenarios with large models will always be challenging, but optimization techniques – such as space partitioning – can reduce the complexity of the average case significantly.

Our contribution to this problem is a publicly available benchmark to compare distance calculation algorithms. To illustrate the usage, we investigated and evaluated a grid-based distance measurement algorithm.

The authors gratefully acknowledge the support of the Austrian Research Promotion Agency (Forschungsförderungsgesellschaft, FFG) for the research project (K-Projekt) “Advanced Engineering Design Automation (AEDA)”. Furthermore, the authors would like to thank the Government of Styria for its support in the research project “Amber: Abstände, Metriken und deren Berechnung”.

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Authors and Affiliations

  1. Fraunhofer Austria Research GmbH, Technische Universität Graz, Graz, Austria

    Ulrich Krispel, Dieter W. Fellner & Torsten Ullrich

  2. Fraunhofer IGD, Technische Universität Darmstadt, Darmstadt, Germany

    Dieter W. Fellner

Authors
  1. Ulrich Krispel
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  2. Dieter W. Fellner
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  3. Torsten Ullrich
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Corresponding author

Correspondence to Ulrich Krispel .

Editor information

Editors and Affiliations

  1. University of Calgary, Calgary, AB, Canada

    Marina L. Gavrilova

  2. Sardina Systems OÜ, Tallinn, Estonia

    C.J. Kenneth Tan

  3. Nanyang Technological University, Singapore, Singapore

    Alexei Sourin

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Krispel, U., Fellner, D.W., Ullrich, T. (2020). Distance Measurements of CAD Models in Boundary Representation. In: Gavrilova, M., Tan, C., Sourin, A. (eds) Transactions on Computational Science XXXVI. Lecture Notes in Computer Science(), vol 12060. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-61364-1_3

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  • DOI: https://doi.org/10.1007/978-3-662-61364-1_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-61363-4

  • Online ISBN: 978-3-662-61364-1

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