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2018 | OriginalPaper | Buchkapitel

Clustering Quality Measures for Point Cloud Segmentation Tasks

verfasst von : Jakub Walczak, Adam Wojciechowski

Erschienen in: Computer Vision and Graphics

Verlag: Springer International Publishing

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Abstract

This paper presents improved weighted measures for a point cloud segmentation quality evaluation. They provide more reliable and intuitive appraisal as well as more representative classification characteristics. The new measures are compared with the existing ones: based on classification, and based on information theory. The experiments and measures evaluation were performed for the recently outstanding fresh planes segmentation method. Experiments results showed that newly elaborated measures provide a researcher with distinguished information about segmentation output. This paper introduces recommendations for quality measures adjustment to a particular planar fragments detection problem, what implies contributions for effective development of such methods.

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Vorheriges Kapitel Weather Characterization from Outdoor Scene Images
Nächstes Kapitel Multi-camera Photometric Simulation for Creation of 3D Object Reconstruction System
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Metadaten
Titel
Clustering Quality Measures for Point Cloud Segmentation Tasks
verfasst von
Jakub Walczak
Adam Wojciechowski
Copyright-Jahr
2018
Buch
Computer Vision and Graphics

Print ISBN: 978-3-030-00691-4

Electronic ISBN: 978-3-030-00692-1

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-030-00692-1_16