Title: An unsupervised 3D mesh segmentation based on HMRF-EM algorithm
Authors: Mabrouk, Sabra
Chaieb, Faten
Ghorbel, Faouzi
Citation: WSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 327-333.
Issue Date: 2016
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf
ISBN: 978-80-86943-58-9
ISSN: 2464-4617
Keywords: HMRF-EM algoritmus;růstu regionu;sloučení regionů;segmentace ok
Keywords in different language: HMRF-EM algorithm;region growing;region merging;mesh segmentation
Abstract: We propose a new 3D mesh segmentation method based on the HMRF-EM framework. The clustering method relies on the curvature attribute and considers the spatial information encoded by the mutual influences of neighboring mesh elements. A region growing process is then carried out in order to extract connected regions followed by a merging procedure. The purpose of this latter process is to only preserve meaningful regions. Experiments conducted on different meshes are encouraging and show that the proposed method gives satisfying results compared with classical statistical ones such as kmeans and EM algorithms.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2016: Short Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/29720

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