101
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

3D mesh model segmentation based on skeleton extraction

, &
Pages 153-163 | Received 11 Feb 2022, Accepted 23 Nov 2022, Published online: 22 Dec 2022

References

  • Theologou P, Pratikakis I, Theoharis T. A comprehensive overview of methodologies and performance evaluation frameworks in 3D mesh segmentation. Comput Vis Image Underst. 2015;135:49–82. doi:10.1016/j.cviu.2014.12.008
  • Jaroš M, Strakoš P, Karásek T, et al. Implementation of K-means segmentation algorithm on Intel Xeon Phi and GPU: application in medical imaging. Adv Eng Softw. 2017;103:21–28. doi:10.1016/j.advengsoft.2016.05.008
  • Zhang C, Mao B. 3D building models segmentation based on k-means++ cluster analysis. Int Arch Photogram Remote Sens Spatial Inf Sci. 2016;42:57–61. doi:10.5194/isprs-archives-XLII-2-W2-57-2016
  • Vo AV, Truong-Hong L, Laefer DF, et al. Octree-based region growing for point cloud segmentation. ISPRS J Photogramm Remote Sens. 2015;104:88–100. doi:10.1016/j.isprsjprs.2015.01.011
  • Fan Y, Wang M, Geng N, et al. A self-adaptive segmentation method for a point cloud. Vis Comput. 2018;34:659–673. doi:10.1007/s00371-017-1405-6
  • Cui ZD. Study of segmentation algorithm for three-dimensional point cloud data of blood vessels based on spectral graph (Master dissertation). Harbin: Harbin Institute of Technology; 2015.
  • Williams RM, Ilieş HT. Practical shape analysis and segmentation methods for point cloud models. Comput Aided Geom Des. 2018;67:97–120. doi:10.1016/j.cagd.2018.10.003
  • Zakani FR, Arhid K, Bouksim M, et al. Segmentation of 3D meshes combining the artificial neural network classifier and the spectral clustering. Компьютерная оптика. 2018;42(2):312–319.
  • Zhang H, Wu C, Deng J, et al. A new two-stage mesh surface segmentation method. Vis Comput. 2018;34:1597–1615. doi:10.1007/s00371-017-1434-1
  • Qi CR, Su H, Mo K, et al. Pointnet: deep learning on point sets for 3D classification and segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2017. p. 652–660.
  • Qi CR, Yi L, Su H, et al. Pointnet++: deep hierarchical feature learning on point sets in a metric space. Adv Neural Inf Process Syst. 2017;30(NIPS 2017):1–14.
  • Engelmann F, Kontogianni T, Hermans A, et al. Exploring spatial context for 3D semantic segmentation of point clouds. Proceedings of the IEEE International Conference on Computer Vision (ICCV); 2017. p. 716–724.
  • Kastaniotis D, Theodorakopoulos I, Theoharatos C, et al. A framework for gait-based recognition using Kinect. Pattern Recognit Lett. 2015;68(Part 2):327–335. doi:10.1016/j.patrec.2015.06.020
  • Choi S, Kim J, Kim W, et al. Skeleton-based gait recognition via robust frame-level matching. IEEE Trans Inf Forensics Secur. 2019;14(10):2577–2592. doi:10.1109/TIFS.2019.2901823
  • Karmakar N, Mondal S, Biswas A. Determination of 3D curve skeleton of a digital object. Inf Sci. 2019;499:84–101. doi:10.1016/j.ins.2018.06.021
  • Pala P, Seidenari L, Berretti S, et al. Enhanced skeleton and face 3D data for person re-identification from depth cameras. Comput Graph. 2019;79:69–80. doi:10.1016/j.cag.2019.01.003
  • Yang C, Tiebe O, Shirahama K, et al. Object matching with hierarchical skeletons. Pattern Recognit. 2016;55:183–197. doi:10.1016/j.patcog.2016.01.022
  • Zhang L, Zhao Y, Meng D, et al. TSGCNet: discriminative geometric feature learning with Two-stream graph convolutional network for 3D dental model segmentation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2021. p. 6699–6708.
  • Godoy BI, Vickers NA, Andersson SB. Model segmentation in single particle tracking. IFAC-PapersOnLine. 2021;54(20):340–345. doi:10.1016/j.ifacol.2021.11.197
  • Kumari R, Dev A, Kumar A. An efficient syllable-based speech segmentation model using fuzzy and threshold-based boundary detection. Int J Comput Intell Appl. 2022;21(02):2250007. doi:10.1142/S1469026822500079
  • Tagliasacchi A, Alhashim I, Olson M, et al. Mean curbature skeletons. Comput Graph Forum. 2012;31(5):1735–1744. doi:10.1111/j.1467-8659.2012.03178.x
  • Shapira L, Shamir A, Cohen-Or D. Consistent mesh partitioning and skeletonisation using the shape diameter function. Vis Comput. 2008;24:249–259. doi:10.1007/s00371-007-0197-5
  • Katz S, Leifman G, Tal A. Mesh segmentation using feature point and core extraction. Vis Comput. 2005;21:649–658. doi:10.1007/s00371-005-0344-9
  • Chen X, Golovinskiy A, Funkhouser T. A benchmark for 3D mesh segmentation. ACM Trans Graph. 2009;28(3):1–12. doi:10.1145/1531326.1531379
  • Attene M, Falcidieno B, Spagnuolo M. Hierarchical mesh segmentation based on fitting primitives. Vis Comput. 2006;22:181–193. doi:10.1007/s00371-006-0375-x
  • Golovinskiy A, Funkhouser T. Randomized cuts for 3D mesh analysis. ACM SIGGRAPH Asia 2008 Papers; 2008. p 1–12. doi:10.1145/1457515.1409098.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.