Extracting feature lines from unstructured meshes using a model feature map

Soo Kyun Kim, Chang-Hun Kim

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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
Volume13
Issue number2
Publication statusPublished - 2006 Feb 16

Fingerprint

Feature Model
Unstructured Mesh
Line
Texture
Textures
Curvature
Triangle Mesh
Information use
Edge Detection
Edge detection
3D Model
Image Processing
Image processing
Demonstrate

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Engineering (miscellaneous)

Cite this

Extracting feature lines from unstructured meshes using a model feature map. / Kim, Soo Kyun; Kim, Chang-Hun.

In: Integrated Computer-Aided Engineering, Vol. 13, No. 2, 16.02.2006, p. 101-112.

Research output: Contribution to journalArticle

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