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.
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science Applications
- Computational Theory and Mathematics
- Artificial Intelligence