Abstract
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.
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Acknowledgments
Krzysztof Walas is supported by the Poznań University of Technology grant DSMK/0154-2016.
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Wencka, M., Walas, K. (2017). Review of 3D Objects Segmentation Methods. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2017. ICA 2017. Advances in Intelligent Systems and Computing, vol 550. Springer, Cham. https://doi.org/10.1007/978-3-319-54042-9_59
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DOI: https://doi.org/10.1007/978-3-319-54042-9_59
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