3D Model Simplification Method with Maintaining Local Features

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 217)

Abstract

Current 3D model simplification algorithms only maintain the principal characteristics of the models, leading to the loss of the important characteristics of the local region. Therefore, these algorithms do not facilitate the human understanding of objects. The paper proposes a novel algorithm for simplifying 3D models, which can maintain the local important characteristics. The presented method combines the mesh segmentation algorithm and the simplification algorithm to extract the local visual features while ensuring the high fidelity of the whole mode. Experiments show the proposed algorithm is effectiveness.

Keywords

Local feature Mesh simplification Mesh segmentation 

References

  1. 1.
    Dong F, Zhang RLY (2007) A summarization of mesh simplification algorithms. J Chin Three Gorges Univ 29(1):54–59MathSciNetGoogle Scholar
  2. 2.
    He H, Tian J (2002) A survey on mesh simplification. J Softw 13(12):2215–2224Google Scholar
  3. 3.
    Shamir A (2004) A formulation of boundary mesh segmentation. 3D Data Proc Visual Transm 578:32–38Google Scholar
  4. 4.
    Hoppe H (1996) Progressive meshes. In: Proceedings of SIGGRAPH 96, vol 06. ACM Press, New York, pp 99–206Google Scholar
  5. 5.
    Garland M, Heckbert P (1997) Surface simplification using quadric error metrics. Comput Graph (SIGGRAPH Proc) 17:209–216Google Scholar
  6. 6.
    Mangan A, Whitaker R (1999) Partitioning 3D surface meshes using watershed segmentation. IEEE Trans Visual Comput Graph 5(4):308–321CrossRefGoogle Scholar
  7. 7.
    Liu Z, Tang Y (2010) 3D model simplification algorithm based on meaningful segmentation. J Southwest Chin Norm Univ 35(1):172–174Google Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • Fangyi Liu
    • 1
  • Xing Chen
    • 1
  • Weiyuan Sun
    • 1
  • Xingchen Gu
    • 1
  1. 1.School of Software TechnologyDalian University of TechnologyDalianChina

Personalised recommendations