Feature preserving distance fields
- Resource Type
- Conference
- Authors
- Huamin Qu; Nan Zhang; Ran Shao; Kaufman, A.; Mueller, K.
- Source
- 2004 IEEE Symposium on Volume Visualization and Graphics Volume visualization and graphics 2004 Volume Visualization and Graphics, 2004 IEEE Symposium on. :39-46 2004
- Subject
- Computing and Processing
Signal Processing and Analysis
Sampling methods
Surface reconstruction
Solid modeling
Computer science
Data structures
Computer graphics
Radio access networks
Rendering (computer graphics)
Chromium
Computational geometry
Distance fields
Sampling
Irregular grids
Feature Preserving
Volume Sculpting
- Language
We present two distance field representations which can preserve sharp features in original geometric models: the offset distance field (ODF) and the unified distance field (UDF). The ODF is sampled on a special curvilinear grid named an offset grid. The sample points of the ODF are not on a regular grid and they can float in the cells of a regular base grid. The ODF can naturally adapt to curvature variations in the original mesh and can preserve sharp features. We describe an energy minimization approach to convert geometric models to ODFs. The UDF integrates multiple distance field representations into one data structure. By adaptively using different representations for different parts of a shape, the UDF can provide high fidelity surface representation with compact storage and fast rendering speed.