Parametrization and smooth approximation of surface triangulations
Computer Aided Geometric Design
Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Extracting feature lines from 3D unstructured grids
VIS '97 Proceedings of the 8th conference on Visualization '97
Simplifying surfaces with color and texture using quadric error metrics
Proceedings of the conference on Visualization '98
Progressive compression for lossless transmission of triangle meshes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Constrained texture mapping for polygonal meshes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Interactive geometry remeshing
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Least squares conformal maps for automatic texture atlas generation
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Optimizing 3D triangulations using discrete curvature analysis
Mathematical Methods for Curves and Surfaces
Digital Image Processing
Multiresolution feature extraction for unstructured meshes
Proceedings of the conference on Visualization '01
I3D '03 Proceedings of the 2003 symposium on Interactive 3D graphics
User-controlled creation of multiresolution meshes
I3D '03 Proceedings of the 2003 symposium on Interactive 3D graphics
Evolutionary multi-objective optimization for mesh simplification of 3D open models
Integrated Computer-Aided Engineering
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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.