A Benchmark for Distance Measurements

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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. Furthermore, we evaluated the two most important techniques (hierarchical tree structures versus grid-based approaches).
Original languageEnglish
Title of host publicationInternational Conference on Cyberworlds 2018
Pages120-125
Number of pages6
Publication statusPublished - 2018
EventInternational Conference on Cyberworlds 2018 - Nanyang Technological University, Singapore, Singapore
Duration: 3 Oct 20185 Oct 2018
https://cw2018.fraunhofer.sg/

Conference

ConferenceInternational Conference on Cyberworlds 2018
Abbreviated titleCyberworlds
CountrySingapore
CitySingapore
Period3/10/185/10/18
Internet address

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  • Cite this

    Krispel, U., Fellner, D. W., & Ullrich, T. (2018). A Benchmark for Distance Measurements. In International Conference on Cyberworlds 2018 (pp. 120-125)