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\(\sqrt 3\)-Subdivision Wavelets for Sharp Features Preservation

  • Hong Xiao
  • Yuan Li
  • Jianfeng Yu
  • Jie Zhang
Chapter
  • 633 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8360)

Abstract

Multiresolution representation and analysis of 3D models play an important role in applications such as progressive transmission, rendering and real-time interaction of complex 3D models. Since \(\sqrt 3\) subdivision is the slowest topological refinement scheme among the triangular subdivisions, and wavelets provide a natural framework for multiresolution analysis of functions, we construct a new type of \(\sqrt 3\)-subdivision wavelets using local operators. In order to maintain sharp features of 3D models, we introduce a method for sharp features identification and preservation. Subsequently, we extend the local operators to construct \(\sqrt 3\)-subdivision wavelets for sharp features preservation. The experiments show that the proposed \(\sqrt 3\)-subdivision wavelets can generate more levels of detail and maintain sharp features well when decomposing 3D models, compared with the other subdivision wavelets. Moreover, the computation involved in obtaining the multiresolution representation of 3D models is efficient, and linear in complexity.

Keywords

\(\sqrt 3\) subdivision wavelet transform 3D models sharp features multiresolution 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Hong Xiao
    • 1
  • Yuan Li
    • 1
  • Jianfeng Yu
    • 1
  • Jie Zhang
    • 1
  1. 1.The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of EducationNorthwestern Polytechnical UniversityXi’anChina

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