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Multi-scale Salient Feature Extraction on Mesh Models

  • Yong-Liang Yang
  • Chao-Hui Shen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7633)

Abstract

We present a new method of extracting multi-scale salient features on meshes. It is based on robust estimation of curvature on multiple scales. The coincidence between salient feature and the scale of interest can be established straightforwardly, where detailed feature appears on small scale and feature with more global shape information shows up on large scale. We demonstrate this multi-scale description of features accords with human perception and can be further used for several applications as feature classification and viewpoint selection. Experiments exhibit that our method as a multi-scale analysis tool is very helpful for studying 3D shapes.

Keywords

Salient Feature Principal Curvature Mesh Model Shape Retrieval Ball Neighborhood 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Yong-Liang Yang
    • 1
    • 2
  • Chao-Hui Shen
    • 2
  1. 1.King Abdullah University of Science and TechnologyThuwalKSA
  2. 2.TNListTsinghua UniversityBeijingChina

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