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Chapter

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Title

Review of 3D Objects Segmentation Methods

Authors

[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ 2 ] Instytut Automatyki, Robotyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics and electrical engineering

Year of publication

2017

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • shape characteristics
  • machine learning
  • 3D models
  • object segmentation
Abstract

EN This paper presents a review of segmentation methods of basic shapes represented by polygonal meshes. For a fair algorithms comparison, common training data was used. In this work, 11 methods of 3D Mesh segmentation were tested using four different measures of segments similarity. Namely, Cut Discrepancy, Hamming Distance, Rand Index, Consistency Error were used. All measures mentioned above were characterised in the paper. The results of the comparisons provide means of understanding strengths and weaknesses of the tested algorithms and provide the foundation for the further developments of 3D Objects segmentation methods.

Pages (from - to)

595 - 604

DOI

10.1007/978-3-319-54042-9_59

URL

https://link.springer.com/chapter/10.1007/978-3-319-54042-9_59

Book

Automation 2017 : Innovations in Automation, Robotics and Measurement Techniques

Presented on

International Conference on Automation, ICA 2017, 15-17.03.2017, Warszawa, Polska

Ministry points / chapter

20

Publication indexed in

WoS (15)

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