Extracting feature lines from unstructured meshes using a model feature map

Soo Kyun Kim, Chang Hun Kim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


We propose a new method of extracting feature lines from a 3D scan model. Given an unstructured 3D triangle mesh containing texture information, we use model feature map (MFM), which is a 2D map that abstracts the variation of texture and curvature in the 3D model. The MFM is created from both a texture map and a curvature map, which are produced separately by edge-detection to locate line features. The MFM can be edited interactively using standard image-processing tools. We demonstrate the technique on several data sets, including, but not limited to facial data.

Original languageEnglish
Pages (from-to)101-112
Number of pages12
JournalIntegrated Computer-Aided Engineering
Issue number2
Publication statusPublished - 2006

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Artificial Intelligence


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